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- Tasks: Build and optimise Azure data pipelines while mentoring junior engineers.
- Company: Modern organisation with a forward-thinking, tech-driven culture.
- Benefits: Up to ÂŁ65,000 salary, strong pension, 30 days leave plus extra holidays.
- Other info: Enjoy autonomy, influence architectural decisions, and support next-gen tooling.
- Why this job: Join a growing data team and make a real impact on innovative projects.
- Qualifications: Strong Data Engineering experience, especially with Azure Data Factory and SQL.
The predicted salary is between 60000 - 65000 ÂŁ per year.
We are working with a modern, forwardâthinking organisation building a highâperforming data function. They operate like a privateâsector tech team, with minimal red tape, quick decisionâmaking, and real autonomy.
As Senior Data Engineer, you will work across the full Azure data ecosystem, delivering clean, reliable data for analytics and BI while engaging directly with stakeholders across the organisation. This is a customerâfacing role.
You will also mentor junior engineers, support planning and contribute to continuous improvement within a fastâevolving data team.
Responsibilities- Build, maintain, and optimise Azureâbased data pipelines
- Develop ETL/ELT workflows into the silver layer powering BI
- Work with ADF (critical), SQL, Azure Blob Storage, Power BI, Git & Azure DevOps
- Engage, challenge and collaborate with stakeholders across the organisation
- Own and lead weekly project checkâins
- Mentor two junior data engineers (peer reviews, planning, work allocation, Scrum)
- Shape future architectural decisions and contribute to continuous delivery improvements
- Support the transition toward nextâgen tooling (Fabric, AWS, Snowflake under evaluation)
- Up to ÂŁ65,000
- Strong employer pension contribution
- 30 days annual leave + additional institutional holidays
- Strong experience as a Data Engineer, ideally at senior level
- Excellent stakeholderâfacing capability
- Azure Data Factory (mustâhave)
- SQL for transformations and pipeline development
- Git & Azure DevOps (CI/CD)
- Confidence working endâtoâend across the data lifecycle
- Ability to mentor and support junior engineers
- Power BI experience is beneficial but not essential, the team is considering Fabric, AWS, or Snowflake next year and takes a techâagnostic approach.
Ready to make a real impact? This is a great chance to join a modern, growing data team where you will have ownership, influence, and longâterm progression.
Senior Data Engineer in West Bromwich employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Engineer in West Bromwich
â¨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. Itâs all about making connections!
â¨Tip Number 2
Prepare for the interview by brushing up on your Azure skills. Since this role is all about working with Azure Data Factory and SQL, make sure you can talk confidently about your experience and how you've used these tools in past projects.
â¨Tip Number 3
Show off your mentoring skills! Be ready to discuss how you've supported junior engineers in the past. Share specific examples of how youâve helped them grow and how you plan to contribute to the teamâs development.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Data Engineer in West Bromwich
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your Azure expertise and any relevant projects you've worked on, especially those involving data pipelines and stakeholder engagement.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of how you've mentored junior engineers or led projects, and donât forget to mention your passion for continuous improvement in data engineering.
Showcase Your Technical Skills: Be clear about your technical abilities, especially with Azure Data Factory, SQL, and Git. We want to see how youâve used these tools in real-world scenarios, so donât hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity in our growing data team.
How to prepare for a job interview at Nigel Frank
â¨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory skills and understand how it fits into the data pipeline. Be ready to discuss specific projects where you've built or optimised Azure-based data pipelines, as this will show your hands-on experience.
â¨Engage with Stakeholders
Since this role is customer-facing, practice how you would engage with stakeholders. Prepare examples of how you've collaborated with different teams in the past, and think about how you can challenge and support them effectively.
â¨Show Off Your Mentoring Skills
As a Senior Data Engineer, you'll be mentoring junior engineers. Think of instances where you've guided others, whether through peer reviews or planning sessions. Highlight your leadership style and how you foster a collaborative environment.
â¨Be Ready for Technical Questions
Expect technical questions around ETL/ELT workflows, SQL transformations, and CI/CD processes using Git and Azure DevOps. Brush up on these topics and be prepared to solve problems on the spot to demonstrate your expertise.