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Data Engineer - Hybrid
Job description
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. Data Engineer Location: Birmingham (Hybrid) Hours: Full‑time, 40 hours per week About the role Cygnet is strengthening its data capability following a period of change, with a focus on building a sustainable, well‑supported engineering environment.
We are looking for an experienced Data Engineer to join a growing team supporting key business areas, including clinical, finance and corporate services. This role forms part of a restructured team model, designed to improve resilience, clarify ownership and support long‑term career development. You will work collaboratively with other data engineers, BI professionals and stakeholders, with clear priorities, shared platform responsibility and realistic delivery expectations.
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.
Key responsibilities include
Building and maintaining reliable data pipelines using Snowflake and Azure Developing ETL / ELT processes supporting Power BI Contributing to a scalable, high‑performance data warehouse Translating business and technical requirements into robust, well‑documented solutions Continuously improving data pipelines through optimisation and best practices Collaborating closely with BI, analytics and business teams to deliver trusted data 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 You’ll also have protected time for learning, development and knowledge‑sharing within your working week.
What you’ll bring Essential: 3+ years’ experience as a Data Engineer Strong SQL development skills Hands‑on experience with Snowflake Experience working in Azure Experience designing and maintaining production data pipelines 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 Why join Cygnet?
We believe people do their best work when they feel supported, valued and able to grow. We offer: Salary: Up to £60,000 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) Additional information Due to current sponsorship limitations, visa sponsorship is not available for this role.
We reserve the right to close this vacancy early if sufficient applications are received. Ready to make a positive, sustainable change? If you’re looking for a role where engineering quality, collaboration and wellbeing matter, we’d love to hear from you. Please click Apply Now to submit your application. What next? If you care about making a difference – we want to talk to you.
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Description copied from Cygnet Health Care's careers page. Read the full posting before you apply.
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