Data & Analytics

Data & Analytics

​Glocomms: Data & Analytics Recruitment

Germany is a big data growth market, according to Bitkom, turnover generated from hardware, software and services for big data applications now exceeds €6bn (2019) – achieving a year on year increase of ten percent. Software companies continue to generate the highest share of big data market turnover, with a forecast nine percent market growth level in 2020, expected to generate revenue share of around €3.1bn.

Glocomms is your ultimate destination for top-tier data and analytics talent, available for both permanent and freelance/contract roles. Our seasoned consultants possess a profound understanding of the Google Cloud data and analytics industry, empowering us to identify the ideal candidate tailored to your precise requirements. Whether you seek a permanent employee skilled in data warehousing, data engineering, machine learning, or data analysis, or a freelancer for a short-term project, our swift and efficient process ensures a perfect fit for your needs. Trust us to help you find the right match quickly and efficiently.

Our Berlin based consultants are specialists in their markets, recruiting top talent for leading organisations in the data & analytics profession throughout Germany and Europe.

If you're a Data & Analytics professional, please register your resume.

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Benefits of working with us

Our Data & Analytics recruitment specialists support growing technology businesses source the right go-to-market strategy talent, manage the recruitment process and facilitate onboarding. With multi-lingual language support, we provide international recruitment expertise to secure business-critical talent across Europe.

Our recruitment benefits

Experience

We have a decade’s worth of Data & Analytics experience as a leading talent partner in Technology.

Network

A vast, global network of the best, in-demandData & Analytics talent.

Knowledge

Our award-winning talent specialists offer bespoke, tailored guidance on the latest hiring trends.

Whether you seek swift placement for pivotal roles or aspire for strategic talent acquisition solutions, our arsenal of resources and proficiency ensures successful outcomes. Share your vacancy with us today.

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Data & Analytics Jobs

Azure Data integration Engineer

Azure Data Integration Engineer Contract: 12 Month Extendable Location: REMOTE TO SWITZERLAND (with occasional visits to their site in the North ofSwitzerland) Language: English I am assisting a reputable holding company who is in the search for a Azure Data Integration Engineer to work side by side with the Lead Data integration Engineer on a external basis Currently, they have one Data Integration Engineer handling all BAU (Business As Usual) tasks independently. We need someone to support him as his right-hand person and to ensure continuity in his absence. This role is crucial for maintaining and enhancing our Azure Cloud Infrastructure. Roles and Responsibilities: Integrate all data within our Azure Cloud Infrastructure, ensuring seamless data flow and connectivity. This includes setting up data pipelines, configuring data sources, and ensuring data is accurately ingested into the system. Monitor the data interface on our Azure Cloud Infrastructure, identifying and resolving any issues promptly. This involves setting up alerts, performing regular health checks, and ensuring data availability and reliability. Analyze all data flowing through our Azure Infrastructure to ensure data integrity, accuracy, and performance. This includes performing data validation, identifying anomalies, and optimizing data processing workflows. Participate in any other Azure data-based projects that the company undertakes during this timeframe. This could involve collaborating with other teams, contributing to project planning, and implementing new data solutions to support business objectives. Act as the right-hand person to the lead Data Integration Engineer, providing support and ensuring continuity in his absence. This includes understanding the existing data architecture, maintaining documentation, and being prepared to step in and manage tasks independently when needed. Skills and Qualifications: Strong background in Microsoft Azure, with hands-on experience in integrating Azure data. Experience in monitoring and analyzing data within Azure Cloud Infrastructure. Ability to set up monitoring tools, create dashboards, and generate reports to track data performance. Proficiency in data integration tools and techniques, with a solid understanding of cloud-based data management. Knowledge of scripting and automation tools to streamline data processes. Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. Ability to troubleshoot and resolve data-related issues efficiently. Ability to work effectively in a collaborative, fast-paced environment. Strong interpersonal skills and the ability to build positive relationships with team members and stakeholders.

Negotiable
Schweizer-Reneke
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Senior Manager of Privacy Engineering

Senior Manager of Privacy Engineering Orlando, FL We are thrilled to announce an opening for a Senior Manager of Privacy Engineering at a vibrant Orlando, Florida office. This pivotal role is aimed at a seasoned professional who will lead the incorporation of comprehensive privacy measures into our technological innovations, ensuring adherence to 'Privacy by Design' principles. The ideal candidate will possess an advanced degree in software engineering, extensive experience in implementing privacy-enhancing technologies, and a thorough grasp of global data protection regulations. Your responsibilities will include enforcing compliance with stringent international legal frameworks, including but not limited to the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. You will also engage with cross-functional teams to foster a culture of security-first thinking. Leveraging your expertise in global communications, you will be instrumental in setting and enhancing privacy standards across our digital interfaces. Your strategic input will ensure that our digital strategies are not only compliant but also set benchmarks in data privacy, aligning with ongoing changes in international privacy and security standards. This will involve regular audits and updates to our privacy protocols to stay ahead of the curve. A crucial component of your role will be the continuous refinement of our data management practices. You will oversee the development of cutting-edge methods for handling sensitive data, ensuring utmost integrity and confidentiality. This includes architecting secure data storage solutions, enhancing data encryption methods, and implementing rigorous access controls and audit trails to prevent unauthorized data access and leaks. This role requires not only a profound technical and regulatory acumen but also a visionary leader capable of driving innovation in privacy technologies amidst a rapidly changing digital landscape. If you are looking for a role where you can make a significant impact in the field of privacy engineering, apply today to join our forward-thinking team.

Up to US$115000 per year
Orlando
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Lead Salesforce Data Engineer

Job Title: Salesforce Data Engineering Lead We are seeking a Salesforce Data Engineering Lead to design, implement, and manage data-intensive applications related to Salesforce for the company. This role provides subject matter expertise for our integrated Informatica CC360 Master Data Management solution within Salesforce and works closely with the company's Global Technology (GT) teams to deliver innovative data solutions using a range of technologies. The Salesforce Data Engineering Lead also collaborates with vendors and managed service providers (MSPs) for project development and process optimization, while providing level 3 support for incidents and service requests. You will also mentor level 1 and level 2 associates and MSP teams. Key Responsibilities: General Contributions: Support team, department, and business objectives by conducting detailed quantitative and qualitative analysis of business processes and projects. You may also manage small-scale projects or elements of larger ones. Solve complex business requests and make decisions for non-routine issues with moderate risk, ensuring smooth business operations. Assist senior associates in achieving business results by identifying areas for business process improvement, contributing to operating plan development, and ensuring budget adherence. Show personal awareness of strengths and areas for growth, proactively working to enhance skills and knowledge. Perform additional duties as required. Role-Specific Contributions: Partner with Business Analysts and Architects to understand business requirements for new features or capabilities. Convert business requirements and architectural guidance into technical solution documentation and diagrams to support supplier bids. These documents will outline the technical details for the supplier's development work. Design scalable, high-performance data solutions within the Salesforce ecosystem, ensuring alignment with enterprise data management goals, and applying expertise in data sourcing, integration, governance, and security. Develop and document strategies for data migration and integration, ensuring data accuracy, consistency, and traceability during migration and ongoing operations. Lead the development of reporting and dashboard solutions leveraging Salesforce data, meeting business and GT team requirements. Review supplier bids and proposed work orders, providing guidance on technical designs and solutions. Oversee supplier-developed designs and test plans to ensure compliance with approved specifications and company's application development standards. Collaborate with project management roles to set delivery requirements and oversee project execution. Review supplier work products to ensure they meet design specifications and company's best practices. Provide advanced (Level 3) support during production incidents, resolving outages and sharing knowledge to enable suppliers to handle similar issues independently in the future. Contribute to company's Best Practices Library by enhancing technical standards. Perform other relevant tasks as assigned. Candidate Profile: General Requirements: Professional background with expertise in specific disciplines (e.g., Information Technology, Accounting). A college degree or equivalent work experience is required. Specific Requirements: Education: Bachelor's degree in Information Technology or a related field, or equivalent work experience. Preferred Certifications: Database-related certifications (e.g., Azure Data Engineer, Oracle Database SQL Certified Associate). Master Data Management (MDM) certifications (e.g., Informatica Master Data Management Developer). Relevant Salesforce certifications (e.g., Admin, Platform Developer, Integration Architect). Experience: 5-8 years of experience in developing data solutions using integration and transformation tools such as Informatica IDMC or similar platforms (e.g., Microsoft SSIS). 2+ years of experience supporting Master Data Management processes in a highly integrated environment. Informatica CC360 experience is ideal, but other tools (e.g., IBM Infosphere, SAP MDM) are also relevant. Experience with globally sourced operating models and working with suppliers for application development services. Familiarity with project management tools such as Atlassian Jira. Experience with Salesforce application design, delivery, and extension is desirable. Skills and Attributes: Analytical & Strategic Thinking: Strong analytical skills for troubleshooting and identifying system issues, with a proactive approach to resolving potential future challenges. Technical Expertise: Experience in designing and developing data solutions using Informatica CC360, Salesforce Apex & Flows, Heroku Connect, and similar tools. Ability to support Master Data Management (MDM) processes and leverage SQL for data querying and modification. Experience in enterprise reporting and analytics tools. Proficient in debugging and troubleshooting data-related applications (Splunk experience is a plus). Familiarity with Salesforce data processing, integration, and customization is highly advantageous. Project Management Skills: Ability to gather business requirements, plan, execute, and deliver Salesforce solutions on time and within budget. Interpersonal Skills: Effective communication to explain technical concepts to non-technical stakeholders. Strong customer service focus to understand and meet client needs. Collaborative mindset to work with Global Technology teams, vendors, and MSPs to drive successful project outcomes. Leadership capabilities to inspire and guide teams in the successful implementation of data solutions. Additional Attributes: Adaptability to change within a dynamic, matrixed environment. Curiosity and commitment to continuous learning, staying up-to-date with Salesforce and industry advancements. This role provides an opportunity to play a key part in delivering impactful data solutions that support company's growth and operational excellence.

US$80000 - US$140000 per year + Bonus
Orlando
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Backend Developer

About the Company A leader in the biopharmaceutical industry, our client specializes in cutting-edge predictive digital twin technology to drive innovation in biopharmaceutical process development and manufacturing. By integrating artificial intelligence with biochemical networks, they enhance productivity, product quality, and process robustness. Their solutions support top biopharma companies worldwide in optimizing cell line development, media formulation, and process control-reducing experimental efforts, costs, and time to market. Position: (Senior) Backend Developer We are seeking a skilled (Senior) Software Engineer to join a fast-paced, innovative team. This role involves designing, developing, and deploying scalable software systems critical to the company's mission of delivering advanced biopharma solutions. The successful candidate will take ownership of core platform components, contribute to system architecture decisions, and ensure the development of high-quality, reliable, and secure software products. The role requires close collaboration with cross-functional teams, including data scientists, biopharma experts, and product managers, to create user-friendly and high-performance solutions. Key Responsibilities Full-Stack Development: Develop and maintain backend services, APIs, and user interfaces with a focus on scalability and reliability. Implement and optimize platform features to enhance functionality and performance. System Architecture & Design: Lead discussions on system architecture, ensuring scalability, resilience, and maintainability. Solve complex technical challenges while aligning the system with long-term business goals. Machine Learning Integration: Work closely with ML engineers and data scientists to integrate machine learning models into production systems. Optimize ML-powered features for performance and scalability. Performance Optimization: Identify and resolve performance bottlenecks across the platform. Optimize code and algorithms for efficiency, particularly when handling large datasets. CI/CD & Automation: Maintain CI/CD pipelines to ensure seamless deployment and efficient development workflows. Implement best practices for testing, debugging, and version control. Security & Code Quality: Enforce security best practices, ensuring compliance with industry standards for handling sensitive biopharma data. Maintain clean, high-quality code through reviews and testing. Leadership & Collaboration: Mentor junior and mid-level engineers, fostering a culture of continuous learning. Work closely with product teams to align technical solutions with business needs. Documentation: Maintain detailed documentation for system architecture, codebases, and workflows to ensure knowledge transfer and reproducibility. Technical Expertise Software Development: Proficiency in Python and full-stack development, including front-end, back-end, databases, and API design. Expertise in microservices architecture, RESTful APIs, and version control (Git). MLOps & Machine Learning: Experience with MLOps tools like Flyte and backend frameworks such as FastAPI or Flask. Knowledge of deploying and scaling ML models using TensorFlow, PyTorch, or Jax. Cloud & Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience with infrastructure-as-code tools like Terraform. Data & Security: Understanding of data engineering, database design, and security best practices for handling sensitive biopharma data. Soft Skills Strong problem-solving ability to tackle complex technical challenges. Excellent communication skills to collaborate effectively across teams and convey technical concepts to non-technical stakeholders. Leadership and mentorship skills to support junior engineers. Ability to work independently while contributing to broader team objectives. This is an opportunity to play a key role in an innovative, high-impact environment at the forefront of biopharma technology.

Negotiable
Frankfurt (Oder)
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Director of Data

Position: Director of Data As the Director of Data, you will be at the helm of building and leading a new team dedicated to driving customer satisfaction and business growth. Reporting to the VP of Product & Engineering, you will play a key role in shaping innovative product experiences that differentiate us in the competitive landscape. Key Responsibilities: Craft and Lead Data Strategy: Design and implement a forward-thinking data strategy that aligns with company goals and enhances customer value. Team Building and Leadership: Assemble and oversee a high-performance, cross-functional team skilled in data analytics, engineering, science, and domain expertise. Cultivate a culture of collaboration and continuous development. Cross-Functional Collaboration: Work closely with the expanding Go-to-Market (GTM) team to address key data needs that drive top-line revenue. Play a key role in fostering a self-service data environment across the organization. Strengthen Data Capabilities: Develop cutting-edge real-time data solutions that blend award availability and pricing data with customer insights. Lead your team in building smarter, more personalized data models and providing actionable insights. Translate Data into Value: Partner with product, engineering, and other teams to embed loyalty data insights into product offerings, driving customer engagement and contributing to overall revenue growth. Who You Are: You are an experienced and results-driven data leader, adept at building and scaling data functions in rapidly evolving environments. You thrive in uniting data engineering, science, and strategy, and are passionate about leading a team tackling complex challenges in the loyalty space. The following qualifications are ideal for this role: Leadership Experience: Proven success in leading and growing cross-functional teams, including data engineers and data scientists. You excel in developing talent and fostering a collaborative, high-performance environment. Technical Expertise: Strong background in data engineering and science, with the ability to design data systems from scratch. You've led the development of data capabilities from the ground up and are well-versed in real-time data processing and delivery at scale. Strategic Thinker: Demonstrated success in creating and executing data strategies that generate significant business impact. You understand how to link data initiatives with revenue-driving efforts to create both customer value and company growth. Passionate and Curious: Eager to dive into the world of loyalty programs, pricing models, and award availability, and driven to turn these insights into meaningful outcomes that benefit customers.

US$190000 - US$230000 per year + Equity
New York
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Data Scientist/Machine Learning Engineer

We are working with a leading private equity firm based in the Houston, TX area. Are you passionate about leveraging data to drive strategic decisions and optimize portfolio performance? As a Senior Data Scientist, you will play a pivotal role in analyzing large datasets to uncover insights that guide investment strategies and operational improvements. You will collaborate with investment professionals and other stakeholders to deliver actionable recommendations and support data-centric initiatives across our portfolio. Key Responsibilities Data Analysis: Collect, clean, and analyze large datasets from diverse sources to identify trends, patterns, and investment opportunities. End-to-End Machine Learning: Design, develop, and deploy end-to-end machine learning models, from data preprocessing and feature engineering to model training, evaluation, and integration into production systems. Model Development: Develop predictive models and algorithms to assess risks and forecast performance metrics for potential investments. Visualization: Create compelling data visualizations and dashboards to communicate findings effectively to both technical and non-technical stakeholders. Collaboration: Work closely with investment teams to understand their data needs and provide analytical support for deal sourcing, due diligence, and portfolio management. Reporting: Generate regular reports and presentations that summarize key insights, metrics, and recommendations to inform decision-making. Research: Stay updated on industry trends, tools, and methodologies to enhance the firm's analytical capabilities.

Negotiable
Houston
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Director of Engineering - Knowledge Graphs

Our client is a seeking a highly skilled and experienced Director of Engineering with a strong background in Knowledge Graphs and graph technology. This role will be pivotal in driving the development and implementation of advanced graph-based solutions to enhance our digital identity verification and fraud prevention capabilities. Key Responsibilities: Lead and manage a team of engineers focused on developing and optimizing Knowledge Graphs and graph-based technologies. Collaborate with cross-functional teams, including data science, product management, and operations, to design and implement scalable graph solutions. Drive the architecture, design, and development of graph databases and related technologies to support our product offerings. Ensure the reliability, performance, and security of graph-based systems. Stay current with industry trends and advancements in Knowledge Graphs and graph technology, and apply this knowledge to improve our solutions. Mentor and develop engineering talent, fostering a culture of innovation and continuous improvement. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software engineering, with at least 5 years in a leadership role. Proven expertise in Knowledge Graphs, graph databases (e.g., Neo4j, Amazon Neptune), and graph-based algorithms. Strong understanding of data structures, algorithms, and software design principles. Experience with large-scale data processing and distributed systems. Excellent problem-solving skills and the ability to think critically and strategically. Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Passion for innovation and staying ahead of industry trends. Preferred Qualifications: Experience in the identity verification or fraud prevention industry. Familiarity with machine learning and AI techniques related to graph technology.

US$250000 - US$325000 per year
United States of America
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Machine Learning Engineer

Machine Learning Engineer Our client is a leading clean power company. Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics. Key Responsibilities: Develop and implement machine learning models for time series data. Design scalable data pipelines. Optimize models for performance and scalability. Analyze complex datasets for actionable insights. Stay updated on machine learning advancements. Collaborate with cross-functional teams and mentor team members. Ensure compliance with ethical guidelines and privacy laws. Qualifications: Bachelor's or master's degree in a relevant field. Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras). Expertise in time series data and programming languages (Python, R). Experience with big data technologies and CI/CD practices. Strong problem-solving and collaboration skills. Preferred Skills: Experience in the solar industry and proficiency with Microsoft Excel. Benefits: Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.

US$160000 - US$185000 per year
Stamford
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Machine Learning Engineer

Machine Learning Engineer Our client is a leading clean power company. Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics. Key Responsibilities: Develop and implement machine learning models for time series data. Design scalable data pipelines. Optimize models for performance and scalability. Analyze complex datasets for actionable insights. Stay updated on machine learning advancements. Collaborate with cross-functional teams and mentor team members. Ensure compliance with ethical guidelines and privacy laws. Qualifications: Bachelor's or master's degree in a relevant field. Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras). Expertise in time series data and programming languages (Python, R). Experience with big data technologies and CI/CD practices. Strong problem-solving and collaboration skills. Preferred Skills: Experience in the solar industry and proficiency with Microsoft Excel. Benefits: Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.

US$150000 - US$185000 per year
Stamford
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Data Software Engineer

Data Software Engineer Location: Houston, Texas (Hybrid) Company Overview: Our client, is a leader in energy space, and they're backed by a world renowned investment firm Position Summary: Key Responsibilities: Data Pipelines: Design and implement data pipelines for ML and AI models using Azure and Databricks. DataOps/MLOps: Manage routine operations. Domain Expertise: Apply mathematical and statistical knowledge to assess data quality and model insights. Trading Tools: Maintain real-time trading tools for decision-making. Technical Translation: Simplify complex concepts for non-technical stakeholders. Innovation: Research trends in data engineering, AI, and energy storage. Collaboration: Work with engineering, finance, and operations teams. Requirements: Master's in Mathematics, Statistics, Computer Science, or related field. 5+ years in data engineering, ML, and Excel-based workflows with Visual Basic. Proficiency in Python, PySpark, and Visual Basic. Experience with cloud platforms (Azure, Databricks) and big data technologies (Hadoop, Spark). Knowledge of optimization techniques in energy storage.

US$140000 - US$160000 per year
Houston
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Director of Data Governance

Overview: Glocomms is partnered with a major supplier in the US focused on wholesale distribution across a variety of industries with over 100 distribution centers across North America. We are looking for a Director of Data Governance to join this exciting team! This position entails developing and spearheading the strategic direction and requirements for all data domains within the business unit. The role includes offering guidance and leadership in the creation, implementation, maintenance, and enforcement of data standards. Qualifications: Bachelor's Degree in related field with 9+ years of experience and 3+ years in a leadership position Proficiency in crafting and implementing data strategies Knowledge or experience with SAP systems Experience in data governance and standards management Strong program management abilities Background in architecture design or engineering Experience with AI technology is a plus Key Responsibilities: Oversee the governance of data processes and coordinate cross-functional data Direct and manage data changes with thorough control, oversight, approval, communication, and documentation Relay the implications of data changes and work alongside functional and IT leaders to identify the best solutions Implement and follow industry standards and best practices in data governance and management Maintain the integrity and quality of data by conducting regular audits and quality reports Engage in the organization's formal SDLC Process team Responsible for achieving planned results within the organization's policies and guidelines. May manage multiple layers of managers or directly supervise a senior-level staff of professional individual contributors. If you're interested, please apply in directly!

US$150000 - US$200000 per year
Atlanta
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Enterprise Account Executive

About the Role Our platform is designed to help enterprises deploy, manage, and optimize their use of cutting-edge technologies in production environments. By simplifying workflows and offering a customizable, enterprise-grade solution, we enable organizations to adopt modern infrastructure practices without the steep learning curve or operational overhead. This role goes beyond selling - you'll be instrumental in shaping the go-to-market strategy and establishing the processes and team required for long-term growth. Key Responsibilities Sales Execution: Own the entire sales cycle from prospecting to closing, focusing on driving revenue growth through high-value enterprise accounts. Account Strategy: Develop account plans to identify key opportunities and tailor solutions to meet specific customer needs. Market Positioning: Articulate the business and technical value of the platform to diverse stakeholders, from engineers to C-suite executives. Customer Enablement: Collaborate with technical teams to ensure customers successfully implement and maximize the value of the platform. Team Building: As an early member of the sales team, contribute to the development of scalable sales processes and lay the groundwork for future team expansion. Pipeline Growth: Identify and target greenfield opportunities, building relationships with enterprise decision-makers across industries. What We're Looking For Track Record of Success: Consistent overachievement of revenue targets in enterprise software, infrastructure, or DevOps-related sales. Visionary Leadership: Desire to grow into a leadership role, including mentoring junior sales professionals and shaping the future sales team. Technical Acumen: Familiarity with modern infrastructure practices, cloud environments, and the challenges of integrating complex tools in enterprise settings. Consultative Approach: Ability to deeply understand customer challenges and position tailored solutions that drive measurable outcomes. Relationship Building: Proven ability to engage with and influence stakeholders across technical and business functions. Self-Starter: Comfort working in a high-growth, entrepreneurial environment where ambiguity is the norm and initiative is key. Why Join Us? A competitive compensation package with uncapped earning potential. Room for career growth, including opportunities to transition into leadership roles. Equity opportunities in a fast-growing, well-funded startup. A flexible, - hybrid work environment. Access to a forward-thinking team at the forefront of innovation in the software and infrastructure space.

US$150000 - US$200000 per year
New York
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News & Insights

How to Avoid a Talent Exodus Post-Pandemic Image
development-engineering

How to Avoid a Talent Exodus Post-Pandemic

​​Nobody yet knows what the legacy of COVID-19 will be. HR and recruitment experts are increasingly concerned businesses which do survive this period will face a further crisis in the shape of talent acquisition and retention in ‘the new normal’.​Anxiety about the workforce is not new: a recent PWC study found 80% of CEOs are either extremely or somewhat concerned about their organisation’s ability to access skilled labour in the future. The Covid-19 pandemic exacerbates this problem in two ways: high-quality employees are more essential than ever, as businesses prepare to recover and relaunch; and the lockdown period has given many workers a new level of clarity about their work-life dynamic. The result could be a mass exodus of talent post-pandemic.For example, in a recent poll, 82% of tech professionals say they want their employer to encourage more working from home in the future. This is not necessarily bad news for employers: it is an opportunity to accelerate changes to workplace organisation which were already well underway before 2020 reared its head.From remote working and digital transformation to transparency, communication and support, there needs to be a wholesale rethinking of how successful employers treat their staff and go about their business post-pandemic. Leaders and management must demonstrate how much they value their talent, and provide real incentives for high calibre employees to stick with them. Download our full guideto learn more about the five fundamental ways to avoid a talent exodus and keep you seats filled with the best talent: 1. Consistent Communication 2. Transparency and Openness 3. Adapt and Innovate to meet Employees’ Needs 4. Provide Support and Authority 5. Foreground meaning and Plan for the Long Term​

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Working from Home is the Key to Diversity Image
development-engineering

Working from Home is the Key to Diversity

​Tech companies who offer more flexible working arrangements are employers of choice; joining the ranks of tech companies like Twitter who have announced working from home will be the new norm, forever.It will come as no surprise that 82% of the tech workforce want the flexibility to work from home. It may surprise you, however, to learn that working from home can boost the participation of women, people with disabilities, and contingent workers.How can working from home boost diversity? Download this free resource to find out.

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Alleviate Video Call Fatigue With These Top 5 Tips Image
development-engineering

Alleviate Video Call Fatigue With These Top 5 Tips

​​Many of us are working in a virtual office these days. For professionals working in the technology sector, that might mean more time in front of the camera than you signed up for. Even those who usually have the verve and stamina to withstand back-to-back meetings may experience video call fatigue.Why the video call fatigue?Evolving from social animals, most human communication is non-verbal. In face-to-face conversations, we gain additional meaning from the way people act. We read each other’s hand gestures, body language, and facial expressions to pick up social cues and infer meaning. For most people, it takes little conscious effort to analyze these cues. In real life, we know if someone is fidgeting or looking away frequently that it may be time for a break. Video calling can compromise these deep-rooted skills; the video quality might be poor due to a lousy internet connection, or the person might only be partially in view so you cannot read their posture on hand gestures. Unlike real-life conversations, video calling can require sustained and intense attention to glean meaning. Predominately relying on verbal communication is tiring, according to a study conducted by Marc-Andre Reinhard and Siegfried L. Sporer, creating video call fatigue.Video calling can also force the current public health crisis into the forefront of our minds; prompting anxiety and fatigue. Gianpeiero Petriglieri, Associate Professor of Organisational Behaviour at INSEAD, argues, “The video call is our reminder of the people we have lost temporarily. It is the distress that every time you see someone online, such as your colleagues, that reminds you we should really be in the workplace together.”If you find yourself growing tired from back-to-back video calls, try one of these top 5 tips:  1. Reduce the number of faces A conference call can magnify existing issues with video calling. Commonly used video conferencing software can allow tens to hundreds of people to simultaneously share their video. This forces the central vision of the brain to decipher so many people at once that it can be difficult to concentrate and understand the speaker. Writing in the National Geographic, Julia Sklar says that “the brain becomes overwhelmed by unfamiliar excess stimuli while being hyper-focused on searching for non-verbal cues that it can’t find.” If you are attending a presentation, ask the speaker if they can turn off everyone else’s video. For re-occurring group calls, communicate to whoever is leading the meeting that you are experiencing video call fatigue. Ask if a rule can be set that video is not required, or that callers take it in turns to turn their video on when they are speaking.  2. Create different spacesThe context of our different social roles has collapsed. Today, we meet our colleagues, partners, parents, friends and employers in the same space – our computer window. This phenomenon—known as context collapse—happens when different aspects of our lives that are normally physically detached are combined to blur separation boundaries. In turn, context collapse can have negative psychological effects and the attenuation of self-identity. This is also why video calls with friends and family can also be tiring; they become associated with work and obligation.Now more than ever, we need to find ways to create buffers between different aspects of our lives. Our environment affects our decision-making and our concentration. Research finds that a work environment activates cognitive resources and association relating to work behavior; increasing decision-making abilities and concentration. If you can, create different spaces at home for your personal and professional life – even if that just means changing ends on the kitchen table or never working from the couch. Likewise, try to avoid answering text messages from friends or family during work. Creating transition periods between video calls will also prevent fatigue. Whether doing a bit of exercise, making a drink, or stretching – try a new activity between calls to help refresh yourself. 3. Give your eyes a breakWe hardly blink when we stare at screens compared to face-to-face interactions. One study found that blinking decreases by 66% from an average of 18 blinks per minute. This can cause our eyes to get more dry, irritated and tired than normal in what is known as ‘computer vision syndrome’ or digital eye strain, which 60-90% of office workers suffer varying degrees of. Other signs to look out for are blurred vision or tensions headaches. What can do you do to combat it? Try the ’20-20-20’ rule: every 20 minutes take 20 seconds to look at something 20 feet away. If you’re not sure of distance, just try and find something that is furthest from view to focus on. It’s also recommended that you take a break from all your digital devices every two hours for 15 minutes so that your eyes can have a rest. Try to position yourself where natural light is not reflecting harshly on your screen. If that isn’t possible, ask your employer if they can provide anti-glare filters; removable panels that fit over your computer screen and help prevent glare. 4. Turn off your cameraUnlike real-life conversations, video calls force you to stare at your own face for long periods of time. For some, this can be an unwelcome distraction by causing worry about your own appearance or how you are coming across. According to media and business psychologist Charlotte Armitage, “The additional psychological processing involved in attending to one’s own behavior and actions, as mirrored by the online platform, can be draining for a whole number of reasons. At the very least, it adds an additional level of stimuli that you wouldn’t have had in a face to face meeting.”Consider switching off your video, particularly if you are in listening mode or are being presented too. Several studies show that people listen more attentively to phone calls and also experience less stress, as it more closely mirrors a real-life conversation rather than feeling they are giving a performance. If you can’t turn off your camera, consider moving your screen off to the side, instead of straight ahead. This can help you concentrate better by focusing on listening rather than watching. 5. Ask if a task really needs a meetingUltimately, the only way to prevent video call fatigue is to reduce their amount. Next time you are about to schedule a meeting, or are invited to one, ask yourself if this needs to be a video call. In fact, does this task need a meeting at all? Not all decisions require a meeting, so think whether you can move a project forwards via email, chat, or even a quick phone call. With many of us working from home, fears about productivity, belonging, or even visibility may prompt us to get in front of the camera. Save yourself and your colleagues from video fatigue by hitting pause on those calendar invites.​To learn more, download How to Ace a Virtual Interview, Being Business Critical in the New Virtual Workplace, Hiring Business-Critical Talent Through Video Interviews, or How to Virtually Onboard New Talent.

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How to Ace a Virtual Interview Image
data-analytics

How to Ace a Virtual Interview

Video interviews have begun growing in popularity, however as the Covid-19 epidemic continues, this method of interviewing has become a prominent part of companies’ application process. But video interviews come with a new set of difficulties.For many tech professionals in Germany, a video interview may seem simple as it’s in the comfort of your own home. However making a great impression can prove more challenging compared to face-to-face interviews. Unlike a traditional in-person interview, you’re in control of your environment, so it’s important to ensure that your surroundings allow you to make the best first impression.Download this guide for top tips on how to prepare and succeed in this type of interview. From advice on your body language to preventing technology issues; this guide is here to ensure you create the best impression of yourself.

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International Women's Day 2020: An Interview with Nathalie Zetzmann Image
enterprise-solutions

International Women's Day 2020: An Interview with Nathalie Zetzmann

​​The race is on for a gender equal workforce throughout the technology sector. According to the German Federal Ministry for Economic Cooperation and Development, only 24% of IT jobs are filled by women and the sector is still heavily male-dominated in Germany. Nathalie Zetzmann, Principal Consultant Data & AI at Glocomms Berlin, discusses the unique position that recruiters play in furthering gender equality in the technology sector.The 2020 International Women’s Day theme is that an equal world is an enabled world. What does that mean to you in the IT industry?We live in a very diverse world. To master the very diverse challenges of this world, in my opinion, we need very diverse viewpoints and different perspectives. That is why everyone should have the same rights and chances to contribute to solutions for the society we live in.Is gender equality a topic that often comes up in conversations with candidates and companies?Especially in the IT industry there are way more male than female actors. Even though all companies wish for diverse teams, it is hard to find enough female candidates to make this possible in the first place. What role can recruiters play in creating an equal world?Recruiters should find out what is important for female candidates in a work environment and let the companies know so that the companies can implement it in their hiring strategy. What advice would you give to a company trying to create a diverse hiring strategy?I would give the advice to companies to listen to what candidates wish for. For example for working mums to be open to new work concepts like home office, flexible working hours or no-core-hour-concepts, so that they can schedule their day as they need to. It seems simple, but there are so many companies that are just not listening to the needs of their employees. If they did, they could win way more candidates in general and be able to have more diverse teams.Nathalie Zetzmann works as a Principal Recruitment Consultant Data & AI at Glocomms Berlin. Grown up in Bavaria, Germany, studied Environmental Engineering and Business Administration and is especially interested in female in tech, medtech and sustainabletech.. Get in touch with Nathalie to discover how to build a diverse hiring strategy.​Submit a Vacancy

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How to Look Beyond the CV to Find the Right Talent Image
cloud-infrastructure

How to Look Beyond the CV to Find the Right Talent

​While CVs are useful for hiring managers who are looking to employ within the German technology sector in terms of being able to tick the ‘must have’ boxes for required skills, there is a lot they can’t tell you about a candidate. Candidates are also likely to exaggerate about their skills and achievements on a CV, or make out they had more responsibility in a previous role than they actually held. When hiring for new roles in the tech sector, it is more useful to look beyond the CV to find those soft skills and personality traits which will fit in your unique culture and the requirements of your team. A resume, however impressive, cannot tell you if a candidate has enthusiasm, drive or an infectious positive personality. This article will help hiring managers look for these qualities during the recruitment process, and how to test a candidate beyond telling you how good they are, but instead showing you what they are capable of. ​​

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