We are working with a forward-thinking digital consultancy that helps organisations across the public and private sectors deliver impactful technology solutions. Their work focuses on designing and building modern data platforms, products and services that create real value for end users.
They are seeking a Senior Data Engineer who combines strong technical expertise with a consulting mindset. This role suits someone comfortable working with ambiguity, engaging directly with stakeholders, and translating complex business challenges into scalable, production-grade data solutions.
In this hands‑on position, you will lead technical delivery while collaborating with cross‑functional teams. You will play a key role in shaping data strategy, guiding best practices, and delivering solutions that are robust, maintainable and user‑focused.
Key Responsibilities
- Translate ambiguous business problems into clear data and technical solutions
- Design, build and maintain production‑grade data pipelines and models
- Work across modern architectures (data warehouses, lakehouses, event‑driven systems)
- Deliver solutions on cloud platforms (AWS and/or Azure) using best engineering practices
- Apply CI/CD, testing, and modular design to ensure high‑quality delivery
- Embed data governance, security, and quality standards into all solutions
- Support analytics, experimentation, and AI/ML integration where appropriate
- Communicate insights through clear visualisations and stakeholder‑ready materials
- Collaborate closely with users and stakeholders in Agile delivery environments
Skills & Experience
- Strong SQL and Python for data transformation, modelling and analysis
- Experience with modern data tooling (e.g. Spark/PySpark, Pandas, orchestration tools)
- Knowledge of cloud data platforms (e.g. Databricks, Redshift, Microsoft Fabric)
- Solid understanding of data architecture and modelling approaches
- Experience with BI/visualisation tools (e.g. Power BI, Tableau)
- Familiarity with software engineering best practices (Git, testing, CI/CD)
- Understanding of data governance, security and compliance considerations (e.g. GDPR)
- Practical exposure to AI/ML concepts and integration approaches
- Strong analytical thinking and attention to detail
- Consulting Mindset
- User‑focused approach with an emphasis on delivering real‑world impact
- Ability to communicate clearly in client‑facing, ambiguous environments
- Experience producing high‑quality presentations and documentation
- Strong problem‑solving skills with a structured, logical approach
- Comfortable working iteratively in Agile teams and live service environments
Benefits
- Ongoing training and professional development opportunities
- Private medical insurance (including partner cover)
- Discretionary performance bonus
- 25 days annual leave plus additional personal days
- Pension scheme and life assurance
- Electric vehicle salary sacrifice scheme
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