Senior Data Engineer

Lorien Manchester, England, United Kingdom

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This range is provided by Lorien. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Senior Data Engineer - Manchester - Salary £80,000 + Bonus

We're partnered with an ambitious business based in Manchester that is investing heavily in its data transformation journey. As part of this growth, we're looking for a Senior Data Engineer to play a key role in building a new Group BI platform.

You'll lead the migration from an existing on-premise SQL environment to a greenfield AWS data platform. Acting as a senior member of the team, you'll guide and mentor colleagues as they upskill in cloud technologies, ensuring best practices are embedded throughout.

This is a great opportunity to join a business and work as a leader on the rearchitecting and refactoring of their new data platform. The work you deliver will form the foundation for advanced analytics, machine learning, and AI initiatives. Due to the complexity and scale of the platform, experience in similar environments is essential.

• Strong knowledge of AWS data services (Glue, S3, Lambda, Redshift, etc.)
• Solid understanding of ETL processes and data pipeline management
• Proficiency in Python and Py Spark
• Experience working with SQL-based platforms
• Previous involvement in migrating on-premise solutions to cloud is highly desirable
• Excellent collaboration skills and ability to mentor others

• Salary up to £80,000
• Company bonus scheme
• Hybrid working from central Manchester (2 days/week in the office)
• 25 days annual leave plus bank holidays

If you're passionate about shaping the future of data and want to be part of a global transformation project, we'd love to hear from you. Interviews are taking place soon - submit your CV to be considered.

Guidant, Carbon
60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Mid-Senior level

Full-time

Information Technology

Data Infrastructure and Analytics

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