Data Engineer – Hybrid

Cygnet; Birmingham; Hybrid; GBP 36,000 - 60,000; Full time

Benefits offered by this job

Professional development

Health plan

Life assurance

Pension scheme

Cycle to Work

Job summary

Cygnet is recruiting a Data Engineer in Birmingham to join a hybrid team building and maintaining our data platform as we migrate to Snowflake. You will design, construct and optimize data pipelines across Snowflake and Azure, delivering trusted data for clinical, finance and corporate services.

The role emphasizes collaboration, governance and sustainable delivery, with protected learning time and clear ownership to support long‑term career development within a supportive engineering

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data Engineer

SQL

Snowflake

Azure

Data pipelines

Tools

Snowflake

Azure

Job description

• Remaining days remote

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

• 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.

Essential

What you’ll bring

• 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?

• 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.

What next?

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