Data Engineer

Helping others improve and turn their lives around – there’s no better feeling. It’s what we do for thousands of people at more than 150 sites across the UK. Be a part of it.

Do you love new challenges? Are you excited about new technology experimentation? Are you looking for a new challenge that stretches your talents? Then this could be the role for you.

We are looking for a Data Engineer that likes solving complex problems across a full spectrum of technologies.

Joining our team on a full time, 40hr per week basis.

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, 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.

• 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

• Azure Data Factory (ADF)
• Snowflake
• SQL
• Azure Storage / Key Vault
• Power BI (data modelling exposure helpful)
• Git (beneficial)
• Python (advantageous but not required)

• 3+ 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

• Competitive salary:
  Up to £60,000 DOE
• Opportunities for funded learning and apprenticeships
• Expert supervision & support
• Health Cash Plan (free)
• Enhanced maternity pay
• 24/7 GP support line
• Free life assurance
• Discounted gym membership
• Car lease discounts
• Cycle to Work scheme
• Smart Health Toolkit (fitness, nutrition, health checks)

If you want to help build a modern data ecosystem and see your work make a real difference, we’d love to hear from you.

Click Apply Now to get started.

Please note:

We are currently unable to offer sponsorship for this role.

What next? If you care about making a difference – we want to talk to you.

Click the button to apply