Data Engineer

Overview

We are looking for an experienced Data Engineer with a passion for delivering outstanding support. You'll be working 40 hours a week, making a positive difference to the lives of the people in our care at Cygnet.

At Cygnet, we support our people to grow their careers, gain new skills and keep stepping up. Apply now to enjoy excellent career prospects while reaping the rewards of making a difference to others every day.

Cygnet was established in 1988. Since then we have developed a wide range of services for individuals with mental health needs, autism and learning disabilities within the UK. We have built a reputation for delivering pioneering services and outstanding outcomes for the people in our care. Our expert and highly dedicated care team of 10,000 employees empower 2,864 individuals across 150 services to consistently make a positive difference to their lives, through service-user focused care and rehabilitation.

We are looking for a Data Engineer that likes solving complex problems across a full spectrum of technologies. Join our team on a full‑time, 40‑hour per week basis.

• 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‑solving skills 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.

General requirements – Please refer to the job description above.

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.