ai engineer

platform engineer

it platform engineer innovation Jobs in Amsterdam

it platform engineer innovation

senior data engineer

senior data platform engineer Jobs in Amsterdam

senior data platform engineer

senior platform engineer

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

Devoteam

<div>Bedrijfsomschrijving 
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone&mdash;from bright young talents to experienced rockstars&mdash;is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'. 
Vacatureomschrijving 
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:<ul><li>
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.</li><li>
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.</li><li>
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.</li><li>
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.</li><li>
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.</li><li>
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.</li><li>
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.</li></ul> 
Functie-eisen<ul><li> 
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.</li><li>
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.</li><li>
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.</li><li>
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).</li><li>
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.</li><li>
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.</li><li>
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.</li><li>
Proficiency in Dutch is a big plus.</li></ul> 
Aanvullende informatie 
At Devoteam, we invest in our people. Our benefits package includes:<ul><li>
Excellent primary and secondary employment benefits (excellent salary, bonus, lease car, laptop, phone, etc.).</li><li>
A personalized career development plan with specific training and certifications tailored to your field.</li><li>
Every opportunity to grow as a thought leader through knowledge sharing, blogs, and keynote sessions.</li><li>
The unique option to work from within Europe for 4 weeks per year.</li><li>
A vibrant internal community with knowledge sessions, ranging from bi-weekly Tech Thursdays to KISSes (Knowledge &amp; Information Sharing Sessions).</li></ul>
We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge? Apply today!
Questions? Please contact Casper Posch at nl.recruitment@devoteam.nl.</div>

Databricks Data Engineer

PRACYVA

<div>
 
 We are seeking an experienced
 
 Senior AS400 Engineer
 
 to join the DevOps team. The role focuses on maintaining, enhancing, and supporting AS400 (IBM i) applications while ensuring business continuity and operational stability. The ideal candidate will have strong expertise in RPG development, production support, DevOps practices, and legacy system modernization.
 
 
 
 Key Responsibilities
 
 
 
 
 Application Development &amp; Maintenance
 
 
 <ul>
 <li>
 Maintain, enhance, and support existing AS400 (IBM i) applications.
 </li>
 <li>
 Develop fixes and new enhancements for legacy applications.
 </li>
 <li>
 Perform code analysis, debugging, and application optimization.
 </li>
 <li>
 Ensure high application availability and business continuity.
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Perform incident triage, troubleshooting, and issue resolution.
 </li>
 <li>
 Conduct Root Cause Analysis (RCA) for production issues.
 </li>
 <li>
 Manage ITSM tickets while meeting SLA, MTTR, and incident reduction targets.
 </li>
 <li>
 Support batch jobs, job scheduling, and system monitoring.
 </li>
 </ul>
 
 
 Technical Leadership
 
 
 <ul>
 <li>
 Mentor junior engineers and provide technical guidance.
 </li>
 <li>
 Act as Team Lead whenever required.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth project delivery.
 </li>
 </ul>
 
 
 Integration &amp; Legacy Systems
 
 
 <ul>
 <li>
 Support integrations between AS400 and enterprise systems such as SAP, POS, and logistics platforms.
 </li>
 <li>
 Analyze APIs, data flows, and system dependencies.
 </li>
 <li>
 Work with custom-built ERP and legacy applications.
 </li>
 </ul>
 
 
 Modernization &amp; DevOps
 
 
 <ul>
 <li>
 Support AS400 modernization initiatives and SAP S/4HANA migration programs.
 </li>
 <li>
 Contribute to DevSecOps initiatives and improve deployment processes.
 </li>
 <li>
 Understand coexistence strategies during AS400 to SAP transitions.
 </li>
 <li>
 Support monitoring, observability, CI/CD, and release management practices.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 AS400 / IBM i
 
 
 <ul>
 <li>
 RPG III
 </li>
 <li>
 RPG IV
 </li>
 <li>
 RPG ILE
 </li>
 <li>
 RPG Free Format
 </li>
 <li>
 CLP Programming
 </li>
 <li>
 LANSA
 </li>
 <li>
 DB2/400 (DB400)
 </li>
 <li>
 Embedded SQL
 </li>
 </ul>
 
 
 System Knowledge
 
 
 <ul>
 <li>
 AS400 Job Processing
 </li>
 <li>
 Batch Processing &amp; Scheduling
 </li>
 <li>
 Database Design
 </li>
 <li>
 File Systems &amp; Data Structures
 </li>
 <li>
 Legacy ERP Systems
 </li>
 <li>
 Custom Applications
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Incident Management
 </li>
 <li>
 Root Cause Analysis (RCA)
 </li>
 <li>
 ITSM Tools
 </li>
 <li>
 Ticket Management
 </li>
 <li>
 SLA &amp; MTTR Management
 </li>
 </ul>
 
 
 Good to Have Skills
 
 
 <ul>
 <li>
 SAP S/4HANA Migration
 </li>
 <li>
 Legacy System Modernization
 </li>
 <li>
 Automation Tools
 </li>
 <li>
 AI-Assisted Troubleshooting
 </li>
 <li>
 Knowledge Graph &amp; Documentation Tools
 </li>
 <li>
 DevOps Practices
 </li>
 <li>
 Monitoring &amp; Observability
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Release Management
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with poorly documented legacy systems.
 </li>
 <li>
 Experience in reverse engineering applications.
 </li>
 <li>
 Strong stakeholder management and collaboration skills.
 </li>
 <li>
 Ability to work with Business SMEs, SAP teams, vendors, and multi-vendor environments.
 </li>
 <li>
 Ownership mindset with a strong focus on system stability and business continuity.
 </li>
 <li>
 Quick learner with the ability to understand complex legacy applications.
 </li>
 </ul>
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 SLA Compliance
 </li>
 <li>
 MTTR (Mean Time to Resolution)
 </li>
 <li>
 Incident Reduction
 </li>
 <li>
 Escalation Management
 </li>
 <li>
 DORA Metrics
 </li>
 <li>
 Change Deployment Rate
 </li>
 <li>
 Business Continuity &amp; Operational Stability
 </li>
 </ul>
 
 
 
</div>

AS400

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

Group-IB

<div>
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations.
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 About The Role
 
 
 
 In this role, you will be instrumental in the engineering and end-to-end development of analytical services designed to provide advanced fraud intelligence. You will leverage your experience in production-grade Python development to enhance our strategic fraud detection capabilities through the analysis of session and network data, development of sophisticated fraud detection logic, and implementation of predictive modeling and scoring methodologies across diverse web entities.
 
 
 
 YOUR MISSION
 
 
 
 <ul>
 <li>
 Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
 </li>
 <li>
 Perform advanced research into methodologies for fraud mitigation and anomaly detection within transactional and sessional data environments.
 </li>
 <li>
 Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
 </li>
 <li>
 Engineer and validate AI Agents tailored for complex analytical operations.
 </li>
 <li>
 Analyze session and network data to develop sophisticated fraud detection logic.
 </li>
 <li>
 Implement predictive modeling and scoring methodologies across diverse web entities.
 </li>
 <li>
 Synthesize research findings into comprehensive documentation and formal presentations.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Strong foundation in tabular data analysis.
 </li>
 <li>
 Experience writing production-ready, asynchronous Python code (Python 3.10+).
 </li>
 <li>
 Experience with Python data analysis and machine learning libraries, including pandas and scikit-learn.
 </li>
 <li>
 Proficiency with Git; experience with Docker is a plus.
 </li>
 <li>
 Proficiency in IDE and terminal-based development.
 </li>
 <li>
 Experience building ETL pipelines.
 </li>
 <li>
 Experience orchestrating AI coding agents efficiently.
 </li>
 <li>
 Research-oriented mindset.
 </li>
 <li>
 Database experience with Elasticsearch, Cassandra, or ClickHouse is highly preferred.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 Prior experience within the cybersecurity or anti-fraud sectors.
 </li>
 <li>
 Experience implementing AI agents end-to-end.
 </li>
 <li>
 Strong documentation and presentation skills.
 </li>
 <li>
 Experience working with Elasticsearch, Cassandra, or ClickHouse.
 </li>
 <li>
 Good understanding of networking concepts (hosting, VPN, etc.).
 </li>
 <li>
 Understanding of fraud prevention and network protection.
 
 
 </li>
 </ul>
 
 WHY CHOOSE GROUP-IB
 
 
 
 Group-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes.
 
 
 <ul>
 <li>
 Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
 </li>
 <li>
 Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East &amp; Africa, Central Asia, and the Asia-Pacific. Your growth is our growth &mdash; Group-IB's expansion across 60+ active country operations means real career acceleration.
 </li>
 <li>
 We fund professional certifications at company expense &mdash; whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
 </li>
 <li>
 Work alongside industry leaders. Our Unified Risk Platform &mdash; Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more &mdash; is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost &amp; Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
 </li>
 <li>
 Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike &mdash; and neither do the skills you'll develop.
 </li>
 <li>
 A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.
 </li>
 </ul>
</div>

Data Scientist

Pancompany

<div>
 
 
 Wat ga je doen.
 
 
 
 Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 
 
 
 
 
 Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 
 
 
 
 
 Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 
 
 
 
 
 Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 
 
 
 
 
 Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 
 
 
 
 
 
 Wij bieden.
 
 
 <ul>
 <li>
 
 Salaris
 
 . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
 </li>
 <li>
 
 Provisie
 
 . Naast het basissalaris deel je mee in de omzet met ons
 
 Solidshare
 
 beloningsmodel. En dat kan aardig oplopen.
 </li>
 <li>
 
 Zekerheid
 
 . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
 </li>
 <li>
 
 Vakantiedagen
 
 . Onbeperkt!
 </li>
 <li>
 
 Essentials
 
 . Een auto, laptop en telefoon, dat spreekt voor zich.
 </li>
 <li>
 
 Projecten
 
 . Samen kiezen we de projecten waar jij helemaal op je plek zit.
 </li>
 <li>
 
 Ontwikkeling
 
 . Opleidingen, trainingen en cursussen die bij je passen.
 </li>
 <li>
 
 Een stem
 
 . Laat je horen in onze
 
 Data Analytics
 
 competence.
 </li>
 <li>
 
 Our community
 
 . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
 </li>
 <li>
 
 Events
 
 . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
 
 Dublin
 
 tot een MTB-clinic of running event. Van tweewekelijkse
 
 Dungeons &amp; Dragons
 
 -avonden tot familiedagen naar de Efteling.
 </li>
 </ul>
 
 
 
 
 
 Dit ben jij.
 
 
 
 Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 
 
 Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 
 
 Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 
 
 
 
 
 
 Bij Pancompany.
 
 
 
 Ben je de beste in je vak.
 
 
 Denk en handel je als een ondernemer.
 
 
 Maak je plezier en geniet je volop.
 
</div>

Data Engineer

Explore 16+ Senior platform engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.