Senior Data Engineer

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 Senior Data Engineer in Netcompany ?; We are looking for a Senior Data Engineer to support the migration of data from relational databases to a cloud-based database/data platform . The ideal candidate has strong hands-on experience with relational databases , together with experience in cloud and distributed data technologies.; As a Senior Data Engineer you will:; Develop and maintain ETL/ELT pipelines to migrate data from relational databases to cloud platforms.; Write and optimize SQL queries for data extraction, transformation, validation, and reconciliation.; Analyze existing relational database structures and create source-to-target mappings for migration.; Design and implement appropriate data models in the target cloud environment.; Develop and maintain Apache Airflow DAGs for automated data pipelines and migration workflows.; Use Python for data transformation, automation, validation, and migration activities.; Perform data quality checks, reconciliation, and troubleshooting throughout the migration process.; Work with cloud data platforms such as AWS, Azure, or GCP and cloud databases/data warehouses.; Use Apache Spark/PySpark and Hadoop where required for large-scale data processing.; Collaborate with database, cloud, analytics, and engineering teams to ensure a smooth and reliable migration.

Requirements

What would make you a fit for the role:; Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or a related field.; 5-10 years of solid data engineering experience; Good SQL and Python, with experience in ELT/ETL, data modelling, Spark and workflow orchestration.; Hands-on with at least one major cloud data platform — Azure, AWS or Databricks — including data lake / lakehouse design.; Git and basic CI/CD knowledge; Good interpersonal skills, adaptive and team player; Fluency in the English language; Ability to travel within Europe, once every 2 months for approximately 2-3 days at a time.