Data Engineer

Salary: £60,000 - £70,000

Up to 10% Bonus

Location: Greater Manchester (Hybrid - 3 days in the office / 2 days at home;)

Permanent

Sellick Partnership are proud to be partnered with a well-established business who are investing in professionalising its data capability. They are looking for a Data Engineer to join them to help design and build the foundations of a modern data platform that directly supports board-level decision making.

The technology stack is Microsoft-led, with an Azure environment, Azure Data Lake, Power BI, and Power Apps, alongside a bespoke operational system and an ERP that need to be integrated.

Key Responsibilities

• Design and build a modern Azure-based data platform, including:
• Azure Data Lake
• Data ingestion pipelines
• Data modelling and transformation

Automate ingestion of data from:

• Bespoke operational systems
• ERP systems
• High-volume transactional sources (1,000+ transactions per hour)

Establish robust data flows that support:

• Financial reporting
• Cash flow analysis
• Operational insight

• Create and maintain data models and data cubes for reporting and analytics
• Enable self-service analytics for business users
• Collaborate with the Data Analyst to ensure data is fit for reporting and insight
• Support governance, data quality, and best practices as the function matures

Skills & Experience

• Strong experience in data engineering within a Microsoft ecosystem with hands-on experience with:
• Azure Data Lake
• Azure data pipelines / ETL
• SQL and relational data modelling
• Comfortable working with high-volume, low-value transaction data
• Experience integrating multiple systems into a central data platform
• Ability to think architecturally while remaining hands-on

We will be reviewing CVs on a daily basis and shortlisted candidates will be contacted in due course.

Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV.