Data Engineer - Hybrid Working - OUTSIDE IR35

Data Engineer - Hybrid Working - OUTSIDE IR35

We are working with one of our largest customers who are based in London. The client is based in the Financial Services sector.

Job Purpose

We are seeking a skilled Data Engineer to join our data warehousing initiative, a critical part of a broader integration project following a recent acquisition. The Data Engineer will play a key role in uplifting and redeveloping an existing data warehouse to serve the needs of both entities. This role requires extensive experience with SQL Server Integration Services (SSIS) to rebuild and optimise ETL processes, ensuring seamless data ingestion, analysis and integration from various new source systems. The role also involves close collaboration with data analysts and participation in testing activities.

This is a hybrid role, requiring the candidate to be based in the office 2 to 3 days a week.

Knowledge and Skills Required:

• Extensive experience with SQL Server Integration Services (SSIS) and Microsoft SQL Server development.
• Extensive knowledge of T-SQL and stored procedure programming on Microsoft SQL Server.
• Experience in scripting tasks with SSIS (Powershell, C#, Python).
• Solid understanding of data warehousing concepts, architectures, and best practices.
• Strong understanding of database architecture, indexing, and query optimization.
• Strong analytical and problem-solving skills, with the ability to identify and resolve data-related issues.
• Excellent collaboration and communication skills, with the ability to work effectively with technical and non-technical stakeholders.
• High attention to detail and a commitment to data accuracy and quality.

Qualifications and Experience Required:

• Minimum 3 years practical experience working in operational data teams.
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Proven experience in designing, developing and implementing data warehousing solutions with a focus on data integration and ETL development.