Senior Data Engineer

🚀 Senior Data Engineer

📍 Manchester, UK (Hybrid – 2 days per week onsite, Tuesdays & Thursdays)

💷 £70,000 – £80,000 + up to 10% bonus

Are you a technically strong Senior Data Engineer who enjoys solving complex data challenges and working directly with clients to deliver real business impact?

We’re looking for a commercially minded engineer to join a growing team in Manchester. This is an exciting opportunity to design, build and maintain scalable data platforms and pipelines that power analytics and AI-driven decision-making for leading UK organisations.

This role is ideal for someone who thrives at the intersection of hands-on engineering, consulting, and stakeholder engagement, with a clear pathway into people leadership.

What you’ll be doing:

• Design, build and maintain robust, scalable data pipelines using Python and modern data engineering tools
• Translate complex business and data challenges into practical engineering solutions
• Lead technical scoping and delivery from requirements gathering through to deployment and support
• Build and maintain data models, transformation layers and orchestration frameworks
• Work closely with clients, presenting technical solutions in a clear and accessible way
• Champion data quality, governance and engineering best practices
• Mentor junior engineers and help shape a culture of technical excellence
• Collaborate with Cloud, MLOps and Analytics teams to deliver end-to-end solutions
• Support proposals, demos and client relationship development where needed

What we’re looking for:

• 5+ years’ experience in Data Engineering or a similar technical discipline
• Strong Python skills with production-level engineering experience
• Experience with tools/frameworks such as pandas, Polars, DBT
• Strong understanding of data warehousing, dimensional modelling and medallion architecture
• Hands-on experience with cloud platforms: AWS, Azure or GCP
• Experience with orchestration tools such as Airflow, Prefect or Dagster
• Strong SQL skills and experience with modern warehouse/lakehouse architectures
• Familiarity with Git, CI/CD and infrastructure-as-code practices
• Excellent communication and stakeholder management skills
• Experience in a client-facing or consulting environment (or strong desire to develop this)
• Ambition to move into team leadership / people management

Nice to have:

• Experience with PySpark / Databricks
• Experience with streaming technologies like Kafka or AWS Kinesis
• Knowledge of data governance and quality frameworks