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.

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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.

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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.

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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

Lakehouse Data Engineer

Our client is a rapidly growing Insuretech company developing innovative products in the insurance industry. We use advanced machine learning to drive optimal claims outcomes. Key Responsibilities: Design and optimize Data Lakehouse architecture for high performance and scalability. Manage data integration from various sources. Collaborate with teams to align data models with business needs. Enforce data governance, quality, and security standards. Automate processes using scripting and CI/CD tools. Troubleshoot and improve system performance. Work with big data tools like Apache Spark and Delta Lake. Maintain Data Lakehouse stability and reliability. Stay updated on big data and cloud technology trends. Skills and Expertise: 5+ years with cloud-based data solutions (Redshift, Snowflake, BigQuery). Experience with AWS Lake Formation. 3+ years in ELT/ETL development. Proficient in Python, Java, or SQL. Strong SQL programming and data modeling skills. Experience with data pipeline and orchestration tools (Hive, Spark, Airflow). Knowledge of containerization (Docker, Kubernetes). Agile development experience. Understanding of machine learning workflows and data visualization tools is a plus. Strong communication and collaboration skills. Nice to Have: AWS certifications. Knowledge of commercial claims management systems.

Negotiable
United States of America
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Lakehouse Data Engineer

Our client is a rapidly growing Insuretech company developing innovative products in the insurance industry. We use advanced machine learning to drive optimal claims outcomes. Key Responsibilities: Design and optimize Data Lakehouse architecture for high performance and scalability. Manage data integration from various sources. Collaborate with teams to align data models with business needs. Enforce data governance, quality, and security standards. Automate processes using scripting and CI/CD tools. Troubleshoot and improve system performance. Work with big data tools like Apache Spark and Delta Lake. Maintain Data Lakehouse stability and reliability. Stay updated on big data and cloud technology trends. Skills and Expertise: 5+ years with cloud-based data solutions (Redshift, Snowflake, BigQuery). Experience with AWS Lake Formation. 3+ years in ELT/ETL development. Proficient in Python, Java, or SQL. Strong SQL programming and data modeling skills. Experience with data pipeline and orchestration tools (Hive, Spark, Airflow). Knowledge of containerization (Docker, Kubernetes). Agile development experience. Understanding of machine learning workflows and data visualization tools is a plus. Strong communication and collaboration skills. Nice to Have: AWS certifications. Knowledge of commercial claims management systems.

Negotiable
United States of America
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Senior PowerBI Developer

We are seeking an experienced Business Intelligence (BI) Developer for a freelance B2B contract role.to join our team and help optimize and enhance our client's data infrastructure. You will play a pivotal role in ensuring scalability, security, and performance while developing innovative BI solutions that empower thousands of users with self-service analytics. Role: BI Developer Location: Krakow Duration: Long Term Hybrid Remote Working Start Date: January Client interviews: This week and week commencing 16th Dec Key Responsibilities: Analyze Data Infrastructure: Review the client's current data systems, identify areas of improvement, and implement optimizations to address scalability, security, and performance challenges. Develop BI Models: Collaborate with stakeholders to design and build robust, user-friendly BI models that support self-service analytics and efficient data consumption. Utilize Modern Tech Stack: Leverage tools such as PowerBI, Azure, Databricks, Python, and Tabular to develop, deploy, and maintain scalable BI solutions. Ensure Data Security: Implement best practices to enhance data security, ensuring compliance with industry standards and safeguarding sensitive information. Optimize Performance: Fine-tune BI systems to improve query performance, reduce latency, and ensure a seamless user experience for thousands of concurrent users. Collaborate Cross-Functionally: Work closely with data engineers, architects, and business teams to understand requirements and deliver tailored solutions. Provide Ongoing Support: Monitor BI systems, address issues proactively, and provide technical support to end-users for continuous improvement.

Negotiable
Kraków
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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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Founding Data Engineer

Our client is a fast-growing AI company specializing in the Pharmaceutical Intelligence space. Key Responsibilities: Design, develop, and maintain complex data pipelines that go through multiple stages and transformations. Implement data modeling, normalization, and wrangling of different data formats into a cohesive product. Manage and optimize data storage solutions using technologies such as PostgreSQL, S3/GCS. Orchestrate workflows using tools like Airflow, Prefect, or Dagster. Implement and manage message queues to ensure efficient data processing. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Contribute to the maturation of data infrastructure in a startup environment, from 0 to 1 and beyond. Required Qualifications: Proficiency in Python and experience with PostgreSQL. Hands-on experience with cloud storage solutions such as S3 or GCS. Familiarity with workflow orchestration tools like Airflow, Prefect, or Dagster. Experience with managing message queues. Mid-level or higher experience in managing complex data pipelines. Strong understanding of data modeling, normalization, and data wrangling. Preferred Qualifications: Experience in fast-growing AI-native companies. Proven track record of maturing data infrastructure in startup environments. Ability to handle unstructured and varying data formats effectively. Why Join Us: Be part of an innovative team at the forefront of AI and data engineering. Opportunity to work on challenging projects that make a real impact. Collaborative and dynamic work environment. Competitive salary and benefits package.

US$150000 - US$200000 per year
Brooklyn
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Principal Data Engineer

Seeking a Principal Data Engineer! We're looking for a Principal Data Engineer to lead the data architecture of our SaaS platform. You'll be responsible for driving architecture, making code contributions, and evolving our prototype into a scalable, extensible data platform. Key Duties & Responsibilities: - Set architectural direction for the data systems - Contribute readable, maintainable, and thoroughly tested code - Build prototypes and proofs of concepts - Adhere to software engineering best practices - Collaborate with data engineers and other stakeholders - Mentor and assist other engineers - Improve productivity and velocity across the team Skills & Abilities: - Deep knowledge and experience with modern data infrastructure - Proficiency with various big data technologies - High standards for software engineering - Excellent communication skills - Empathy for others Join us in connecting companies with the communities they operate in to foster mutual success. Apply now!

US$200 - US$220 per year
Brooklyn
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Qlik Developer

We are working with an established Snowflake-Partnered consultancy in search for a Qlik Consultant for a freelance contract role. Role: Qlik Consultant Duration: 3 months extendable Location: Lyon Hybrid Working Start Date: Nov/Dec We are seeking a Qlik Developer responsible for creating and maintaining Qlik Sense dashboards to support Group-level Operations management. The role involves developing dashboards focused on service quality and incoming call metrics to enhance monitoring and reporting. The ideal candidate will work with Qlik Sense and Snowflake to transform data into actionable insights that drive operational efficiency and strategic decision-making. Fluent English and French is a must for this position. If the role is of interest, please apply directly for more information.

Negotiable
Lyon
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PLC Developer

To my Zurich network, I am working with a Swiss consultancy who are urgently searching for a German speaking PLC Developer. Contract duration: 6 months Language: German Speaking Work model: 3 days onsite, 2 days remote Start date: ASAP Client: This consultancy have been in the market for 40+ years, their teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. They work with some of the largest companies across the globe, focusing on AI & Data, DevOps, Cybersecurity, Cloud and Applications & Software. Project: Their end customerdevelops and sells machines which are built on a software stack with 3 different programming languages: NC-Code, PLC-Code and .NET. Our client have been supporting the customer for several years on the .NET level, which communicates with the machine hardware over a PLC layer and a NC layer. Currently, the entire software stack is not running as stable as it should, and the main reasons are within the PLC and NC layer. Key initiatives: Analyse existing code (NC and PLC) Debug existing code Rework parts of the existing code Support the conception and architecture approach of a new PLC layer Required Experience: 8+ years' Experience in the following: PLC code development on Siemens PLC NC code development on Siemens Sinumerik ONE Software engineering / conception and architecture PLC development for machine manufacturers To be considered for this role, you MUST be able to speak fluent German (speaking and written)

Swiss Franc600 - Swiss Franc800 per day
Zurich
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Data Domain Lead

Representing an established IT consultancy, we are searching for a Data Lead to join on a freelance B2B contract on a 12 month extendable contract. Role: Data Lead Duration: 12 months (Long Term) Location: Warsaw Hybrid Working Flexibility Start Date: November B2B Freelance Contract Key Responsibilities: Working closely with your manager, you will lead the Data Platform and BI domain You will create standards of delivery and quality, taking into consideration frameworks and best practices Lead the existing data team and collaborate closely on projects Work and communicate closely with customers from a sales perspective Act as the technical referent in solving any issues Profile: Proven experience in delivering data platforms and working as a lead in a team Strong technical experience with experience in modern data platforms, working on Azure and BI environments specifically Good understanding of data architecture in creation and delivery of data platforms and data warehouses Solid leadership experience and great communication skills Fluent English and Polish

€350 - €500 per day
Warsaw
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Lead Data Engineer

Representing an established IT consultancy, we are searching for a Data Lead to join on a freelance B2B contract on a 12 month extendable contract. Role: Data Engineer Duration: 12 months (Long Term) Location: Warsaw Hybrid Working Flexibility Start Date: November B2B Freelance Contract Key Responsibilities: Develop and maintain the client's data and reporting platforms Take charge over the full lifecycle of the data platform implementation Provide expertise in Data Warehouse and Lakehouse development for large-scale clients Assist in the technical roadmap and architecture for Data platforms Profile: 5+ years of professional experience as a Data Engineer, working in configuration, deployment and maintenance with Data platforms Strong experience with Azure data services, Databricks and Python SQL scripts Good technical knowledge of CI/CD pipelines and automation practices Pre-sales experience in working with customers and providing solutions Fluent English and Polish

€250 - €400 per day
Warsaw
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Azure Data Architect

We are searching for an Azure Data Architect with one of our key clients, focussing on BI and Analytics. Role: Azure Data Architect Location: Lyon Duration: 6 months (Minimum 1 year project) Hybrid Working Start Date: ASAP (November) Role: Collect and understand project requirements Realisation of Proof of Concept Industrialisation of BI Projects and integration of data Work on the migration of BI solutions to Microsoft BI Participate in design workshops Technical monitoring and documentation Technical Context: Proven previous experience as a Data Architect, working specifically only Azure and BI environments Great understanding of data modelling Tools: Databricks on Azure, Power BI for analytics and BI, ADF (Azure Data Factory), as well as Python for specific developments. Proficient with SQL scripts The role involves configuring and managing Databricks clusters, requiring versatile skills across the entire data processing chain. Fluent English To find out more information, please apply directly with an updated CV!

€500 - €600 per day
Lyon
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Lead Data Engineer

**Lead Data Engineer Opportunity in Dallas** Base: Up to 165K plus bonus Role Cannot Provide Sponsorship Are you a passionate Lead Data Engineer seeking an exciting new challenge? We're looking for someone with strong coding abilities and substantial experience to join our dynamic team based in the heart of Dallas. This is not just another job; it's a chance to make significant contributions using top-notch technology within the Azure data factory environment. *Role Highlights:* - Permanent, full-time position - Location: On-site at our modern office space in Dallas - Focus on Azure Data Factory technologies The successful candidate will have over 5 years of hands-on experience and demonstrated leadership skills. You'll be responsible for projects that require deep technical knowledge, managing processes efficiently while pushing technological boundaries. *Skills Required:* 1. **Strong Coding Expertise:** - Mastery level required due to the complex nature of tasks. 2. **Azure Knowledge & Experience:** - Proficiency in utilizing Azure services, particularly around data management tools like Azure Data Factory. 3. **Leadership Abilities**: - Proven track record leading teams or projects ensuring smooth execution from conception through delivery. 4. **Data Engineering Acumen**: - Strong experience with ETL pipeline work in addition to understanding migration within ADZ and Copy Data & Data Flow. If you are determined, enjoy solving challenging problems, possess excellent communication skills, thrive when immersed deeply into technicalities but also can see beyond code-this role could provide the perfect next step up your career ladder! Email me at with your most updated CV or to share any referrals for this position!

US$140000 - US$165000 per year
Dallas
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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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