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- Tasks: Design and implement complex data pipelines for impactful analytics solutions.
- Company: Join the UK Home Office, a diverse and inclusive workplace.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Make a difference by supporting decision-making across the organisation.
- Qualifications: 3+ years in data engineering with skills in Python and Azure.
- Other info: Mentor junior team members in a collaborative engineering culture.
The predicted salary is between 43200 - 72000 £ per year.
The UK Home Office seeks a Senior Data Engineer to design and implement complex data pipelines that connect operational systems to analytics platforms. You will collaborate with the EUC&C community, Product Owners, and stakeholders to deliver robust data solutions that support decision‑making across the organisation.
Responsibilities
- Design, build, and test data streaming services and ETL processes, ensuring high performance and scalability.
- Develop logical, physical, and conceptual data models across multiple subject areas, guiding data strategy and governance.
- Collaborate with data analysts and data scientists to troubleshoot data loads and support analytics challenges.
- Mentor junior team members, fostering an agile, collaborative engineering culture.
- Engage with Product Owners and stakeholders to align data solutions with business needs.
- Apply industry‑standard tools and cloud technologies (Azure, M365, OneLake, MS Fabric) to deliver data engineering solutions.
Qualifications
- 3+ years of experience in data engineering, ETL, and data modelling.
- Proficiency with Python, PowerShell, and modern open‑source programming languages.
- Experience with Azure cloud services, M365 platforms, and orchestration tools (MSSQL, OneLake, MS Fabric).
- Strong API design skills: REST, GraphQL, GraphAPI, and best‑practice endpoint creation.
- Excellent communication skills, capable of explaining technical concepts to non‑technical stakeholders.
- UK residency for 3+ years required to qualify for SC Clearance; no sponsorship offered.
Application Requirements
Applicants must include a CV and a personal statement that demonstrates the essential skills using the STAR method. The personal statement should meet the word count and provide evidence of experience aligned with the role responsibilities and qualifications.
Equal Employment Opportunity Statement
UK Home Office is an equal opportunity employer. We welcome applications from all qualified individuals regardless of gender, race, disability, sexual orientation, or any other protected characteristic.
Senior Data Engineer in London employer: UK Home Office
Contact Detail:
UK Home Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the UK Home Office on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We should be ready to discuss our experience with data pipelines, ETL processes, and cloud technologies like Azure. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Show off our collaborative spirit! Be ready to share examples of how we've worked with teams, mentored others, or solved problems together. The UK Home Office values teamwork, so let’s highlight that!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our CV and personal statement to match the job description perfectly.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Craft a Stellar CV: Your CV is your first impression, so make it count! Highlight your experience in data engineering, ETL processes, and any relevant tools like Azure or Python. Keep it clear and concise, focusing on what makes you the perfect fit for the Senior Data Engineer role.
Nail Your Personal Statement: Use the STAR method to showcase your skills and experiences. Be specific about your achievements and how they relate to the responsibilities listed in the job description. This is your chance to shine, so don’t hold back!
Align with Our Values: Make sure your application reflects our collaborative and agile culture. Mention any mentoring experiences or teamwork that demonstrate your ability to work well with others. We love seeing candidates who can engage with stakeholders effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at UK Home Office
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially ETL processes and data modelling. Brush up on your experience with Azure cloud services and the specific tools mentioned in the job description, like OneLake and MS Fabric. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Master the STAR Method
When crafting your personal statement, use the STAR method (Situation, Task, Action, Result) to clearly demonstrate your relevant experience. This structured approach will help you articulate your achievements effectively, making it easier for interviewers to see how you fit into their team.
✨Prepare for Technical Questions
Expect technical questions related to API design and programming languages like Python and PowerShell. Practise explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders. Consider mock interviews to refine your responses.
✨Show Your Collaborative Spirit
Since the role involves mentoring junior team members and collaborating with various stakeholders, be prepared to discuss your teamwork experiences. Share examples of how you’ve fostered a collaborative environment and supported others in achieving their goals. This will highlight your fit for the agile culture they’re looking for.