Data Engineer (Senior-Lead)

Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Responsibilities

Ever wondered what it feels like to be a Data Engineer (Senior-Lead) in Netcompany ?; As a Data Engineer (Senior-Lead) you will:; Lead a small team of Cloud Data Management and Data Lake Engineers delivering client engagements — planning, prioritisation, code reviews and mentoring.; Own delivery of your engagements end-to-end: scope, estimates, milestones, risks, quality and client communication.; Design and build cloud-native data lakes and lakehouses (Delta Lake, Apache Iceberg) using medallion architecture on Azure, AWS or Databricks, with robust ELT/ETL pipelines, data models and quality / observability controls.; Adopt and promote AI coding assistants and agentic workflows inside your team.; Support the Senior Manager on solution design, technical estimations and pre-sales activities; align with sector / account stakeholders.; Apply engineering best practices — version control, CI/CD for data, IaC, DataOps, security and governance — and collaborate with AI/ML, BI and application teams as needed.

Requirements

What would make you a fit for the role:; Solid data engineering experience, including experience leading small teams or workstreams.; Hands-on with at least one major cloud data platform — Azure, AWS or Databricks — including data lake / lakehouse design.; Good SQL and Python, with experience in ELT/ETL, data modelling, Spark and workflow orchestration.; Experience designing for performance, cost, security and data quality in cloud environments.; Strong communication and coaching mindset for the engineers you lead.; Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or a related field. It would also be a plus if you match some of the following:; Hands-on use of AI coding assistants (e.g. Claude Code, Copilot-class tools).; Experience with dbt for in-warehouse / in-lakehouse transformations, or exposure to Microsoft Fabric.; Familiarity with data governance platforms (Unity Catalog, Microsoft Purview, Collibra or Atlan).; Experience with BI tooling (Power BI, Tableau, Qlik) or streaming technologies.