Senior Data Engineer - Hybrid

We're building our next-generation Snowflake data platform on Azure, and we're looking for a Data Engineer to help shape it. You'll design and deliver high-quality data pipelines, acting as a technical lead to ensure data quality and accessibility. You will collaborate with data scientist to deploy machine learning models, mentor junior engineers, and implement robust ETL/ELT processes develop reliable datasets, and work closely with our BI and Analytics teams to unlock insights across the organisation.

If you enjoy solving real business problems with modern cloud data tools, this is a great opportunity to grow, contribute and influence how data is used across Cygnet.

Ways of working

• Hybrid model:

• Birmingham office every Monday
• One additional office day aligned to team needs
• Remaining days remote

• Workload and priorities are actively managed to balance BAU support and project delivery
• Engineering standards, documentation and knowledge-sharing are treated as core responsibilities, not after-hours work

What you'll be doing

You will help design, build and maintain our data platform as we continue our journey onto Snowflake, working across clearly defined data domains while contributing to shared platform components., * Build and maintain robust ETL/ELT pipelines using Azure Data Factory and Snowflake

• Develop clean, well-modelled datasets to support BI and analytics (Power BI downstream)
• Ingest, process and optimise data from multiple source systems
• Maintain and improve our data warehouse architecture in Snowflake
• Collaborate with Data, BI and Architecture colleagues on new data products
• Contribute to data quality, metadata, versioning and governance standards
• Ensure compliance with data privacy and security best practices
• Create clear technical documentation for pipelines, models and processes
• Mentor junior engineers

Supporting safe and sustainable delivery

This role is designed to avoid "single-point-of-failure" ways of working. You will:

• Share platform ownership with other data engineers
• Work to clearly defined scope and priorities agreed with your manager
• Be supported through peer review, collaboration and realistic delivery timelines
• Contribute to standards, governance and ways of working - not just reactive delivery

• 6+ years' experience as a Data Engineer
• Strong SQL development skills
• Hands-on experience with Snowflake
• Experience building pipelines in Azure (ADF preferred)
• Understanding of data warehousing and ELT/ETL patterns
• Ability to explain technical concepts to non-technical colleagues
• Strong problem-solver with a collaborative mindset

Desirable:

• Experience in regulated or data-sensitive environments (e.g. healthcare, finance)
• Familiarity with data governance, security and privacy
• Experience working in cross-functional data or BI teams

• Salary: Up to £65,000 per annum (DOE)
• Professional development opportunities, including apprenticeship and learning programmes
• Supportive line management and expert supervision
• Enhanced maternity pay:

• 8 weeks full pay
• 18 weeks half pay (inclusive of SMP)
• 13 weeks SMP

• Free Health Cash Plan and 24/7 GP support
• Life assurance, eye tests and pension scheme
• Car lease discounts and discounted gym membership
• Mortgage and insurance support
• NHS discounts and Cycle to Work scheme
• Smart Health Toolkit (fitness, nutrition and health checks)