Data Engineer

Data Engineer

Location: Birmingham

Hybrid Working

Permanent Full Time

Salary: up to £45,000

We’re looking for a Data Engineer to join a growing Data & Analytics team, helping to build and develop the data platform that supports reporting, analytics and emerging AI use cases across the organisation.

This is a broad Data Engineering position covering the full data lifecycle. You’ll work from the point data is connected at source, through ingestion, transformation and modelling, into the central data platform where it can be used effectively for reporting, analytics and more advanced applications.

The environment is centred around the Microsoft data stack, so we’re looking for someone with strong experience across either Microsoft Fabric or Azure data services, alongside solid SQL, data modelling and ETL capabilities.

What you’ll be doing

Designing and building reliable data pipelines to ingest data from a range of internal and external sources

Working with APIs and other integration methods to establish and maintain data feeds

Developing ETL/ELT processes to transform and model data for reporting and analytics

Designing appropriate database structures, schemas and data models

Ensuring data quality, integrity, security and performance across the data platform

Working extensively with SQL and the wider Microsoft data ecosystem

Supporting the development of reporting and self-service analytics solutions

Building and developing Power BI dashboards where required

Working with stakeholders to understand business requirements and translate them into effective technical solutions

Producing high-level solution designs and detailed technical designs

Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data

Contributing to technical standards, development practices and continuous improvement across the wider data function

What we’re looking for

You’ll have a strong grounding in Data Engineering and be comfortable working across different stages of the data lifecycle rather than focusing solely on one area.

We’re particularly interested in exp...