We’re partnering with a growing tech company based in Limburg that’s looking for a
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
Data Lead
to take ownership of their data platform and help shape their data strategy as they scale.
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.
Responsibilities
Own the design and architecture of scalable, reliable data platforms
Lead the development of robust ETL/ELT pipelines and data workflows
Define 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 frameworks
Optimize performance, scalability, and cost-efficiency of data systems
Integrate and unify data from multiple internal and external sources
Partner with AI/ML teams to deliver production-ready datasets
Introduce monitoring, testing, and reliability best practices
Mentor and support data engineers (or help build the team over time)
Your Profile
5+ years of experience in Data Engineering, with exposure to leadership or ownership
Strong 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 frameworks
Strong experience with cloud platforms (AWS, Azure, or GCP)
Experience with batch and/or xphnsxz real-time pipelines (e.g., Kafka)
Solid understanding of data modeling and warehouse design
Experience supporting AI/ML data workflows
Familiarity with modern data architectures (Data Mesh / Data Fabric)
Bonus: prior experience mentoring or leading projects/teams
The Offer
Competitive salary and benefits
Hybrid work environment
Opportunity to take ownership and shape the company’s data strategy
Strong focus on professional growth and leadership development
Collaborative, fast-moving engineering culture