Migration Data Engineer

Overview

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change? Then this vacancy is for you!

As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.

At Rapid Circle, we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.

Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a Scrum Master.

If you recognize yourself in this, then you might just become our Data Engineer.

About The Role

As a Migration Data Engineer, you will be responsible for designing, developing, and executing data migration strategies for large-scale enterprise systems. You will work closely with cross-functional teams to ensure seamless data movement, transformation, and validation while maintaining data integrity and performance.

Key Responsibilities

• Lead end-to-end data migration projects from legacy systems to modern platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks)
• Design and implement ETL/ELT pipelines using tools like Azure Data Factory, Informatica, Talend, or custom Python/Scala scripts
• Analyze source and target systems to define data mapping, transformation logic, and reconciliation strategies
• Collaborate with data architects, DBAs, and business stakeholders to ensure alignment with data governance and compliance standards
• Optimize data migration performance and troubleshoot issues related to data quality, latency, and scalability
• Develop automated testing and validation frameworks to ensure data accuracy post-migration
• Document migration processes, data lineage, and technical specifications
  
  

• 8+ years of experience in data engineering with a strong focus on data migration
• Proven expertise in SQL, Python, and ETL/ELT tools
• Hands-on experience with cloud data platforms (Azure Synapse, AWS Redshift, GCP BigQuery, Snowflake, etc.)
• Deep understanding of relational and non-relational databases (SQL Server, Oracle, MongoDB, etc.)
• Experience with data modeling, data warehousing, and performance tuning
• Strong problem-solving skills and ability to work in fast-paced, agile environments
• Excellent communication and stakeholder management skills