We're partnering with a growing tech company based in Limburg that's looking for a Data Lead to take ownership of their data platform and help shape their data strategy as they scale.
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.The Role:As a Data Lead, you'll combine hands-on engineering with strategic oversight. You'll be responsible for building and evolving scalable data systems while guiding best practices across the organization.ResponsibilitiesOwn the design and architecture of scalable, reliable data platformsLead the development of robust ETL/ELT pipelines and data workflowsDefine and implement data architecture standards (Data Mesh, Data Fabric, etc.)Drive adoption of cloud-based data solutions (AWS, Azure, or GCP)Establish and enforce data quality, governance, and compliance frameworksOptimize performance, scalability, and cost-efficiency of data systemsIntegrate and unify data from multiple internal and external sourcesPartner with AI/ML teams to deliver production-ready datasetsIntroduce monitoring, testing, and reliability best practicesMentor and support data engineers (or help build the team over time)Your Profile5+ years of experience in Data Engineering, with exposure to leadership or ownershipStrong SQL expertise and experience with relational databases (PostgreSQL, Oracle, etc.)Proficiency in Python (or similar languages like Java/Scala)Experience with big data frameworks (Spark, Hadoop, etc.)Hands-on experience with ETL/ELT tools and orchestration frameworksStrong experience with cloud platforms (AWS, Azure, or GCP)Experience with batch xjsrcvq and/or real-time pipelines (e.g., Kafka)Solid understanding of data modeling and warehouse designExperience supporting AI/ML data workflowsFamiliarity with modern data architectures (Data Mesh / Data Fabric)Bonus: prior experience mentoring or leading projects/teamsThe OfferCompetitive salary and benefitsHybrid work environmentOpportunity to take ownership and shape the company's data strategyStrong focus on professional growth and leadership developmentCollaborative, fast-moving engineering culture