Data Integrity & Migration Engineer (SQL/ETL) in Norwich

Data Integrity & Migration Engineer (SQL/ETL) in Norwich

Norwich Full-Time 40000 - 55000 Β£ / year (est.) No working from home possible
hackajob

At a Glance

  • Tasks: Tackle data quality and migration challenges while building ETL processes.
  • Company: Join Verisk, a leader in data solutions with a collaborative team.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on modernising data systems.
  • Why this job: Solve complex data problems and make a real impact on data migration projects.
  • Qualifications: Experience with SQL Server, PostgreSQL, and AWS technologies.

The predicted salary is between 40000 - 55000 Β£ per year.

hackajob is collaborating with Verisk to recruit a Database Developer who will tackle data quality, reconciliation and migration challenges across multiple systems and production datasets. Joining a team of six, you will build ETL processes, support production datasets and contribute to a major data migration and modernisation programme.

Ideal candidates enjoy untangling complex data problems, validating migration outcomes, and applying SQL Server, PostgreSQL and AWS technologies.

Data Integrity & Migration Engineer (SQL/ETL) in Norwich employer: hackajob

At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.

hackajob

Contact Details:

hackajob Recruitment Team

We think you need these skills to ace Data Integrity & Migration Engineer (SQL/ETL) in Norwich

SQL
Python
Problem-Solving Skills
Data Pipeline Development
API Integration
Attention to Detail
Data Engineering