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For Companies At a Glance
- Tasks: Design and deliver cloud-based data solutions for major insurance clients.
- Company: Join a world-class Data & Analytics Consultancy with a focus on innovation.
- Benefits: Competitive salary, private healthcare, generous pension, and flexible hybrid working.
- Why this job: Lead impactful projects and mentor teams in a dynamic environment.
- Qualifications: 8-10+ years in Data Engineering with strong Azure and Databricks expertise.
- Other info: Inclusive culture that values diverse perspectives and offers excellent career growth.
The predicted salary is between 63000 - 87000 £ per year.
We’re hiring for a global, market-leading Data & Analytics Consultancy supporting enterprise-scale Insurance transformation programmes. This is a senior leadership-level opportunity for an experienced Azure Databricks Data Engineer to operate at Senior Manager level, delivering complex, high-impact data platforms across major Insurance clients, while mentoring teams and shaping best practice. Applicants must have experience working on insurance client projects previously! This needs to be clear on your CV.
The Role
- You’ll design and deliver modern, cloud-based data solutions across large Insurance transformation programmes, working hands-on with:
- Azure Databricks & Spark
- Azure Data Factory, Synapse & Data Lake
- Large-scale ETL/ELT pipelines
- Enterprise data modelling & governance frameworks
- Technical leadership and delivery assurance
What We’re Looking For
- Senior-level experience leading or governing technical delivery teams
- Strong Insurance domain experience (Policy, Claims, Regulatory Data)
- 8–10+ years in Data Engineering / Integration
- Deep expertise in Azure & Databricks
- Strong Spark (PySpark / SparkSQL) skills
- Experience designing scalable, high-performance data platforms
- Confident with SQL, CI/CD & DevOps practices
Why Join?
You’ll be part of a world-class consultancy known for delivering cutting-edge analytics and cloud data solutions, offering:
- Competitive salary + bonus
- Private healthcare, life assurance & income protection
- Generous pension
- Employee Share Purchase Plan
- Industry-leading learning & development programmes
- Flexible hybrid working
- Inclusive, high-performance culture
Interested? Apply directly or message me for a confidential discussion. UK work eligibility required unable to provide sponsorship for this one.
Diversity, Equity & Inclusion
We are proud to be an Equal Opportunity Employer and are committed to building a diverse and inclusive workplace. We welcome applications from all backgrounds and communities and do not discriminate on the basis of age, disability, gender identity, race, religion, sexual orientation, or any other protected characteristic. Different perspectives make our client stronger – and better for our clients.
Senior Data Engineer in City of London employer: Focused Futures Consultancy LTD
Contact Detail:
Focused Futures Consultancy LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous projects, especially those related to Azure Databricks and insurance. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL, Spark, and cloud solutions. Mock interviews with friends or mentors can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and any previous insurance projects. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Data Engineer role. Share specific examples of your leadership in data engineering and how you've driven success in insurance projects.
Showcase Your Technical Skills: Be clear about your technical expertise in Azure, Spark, and data platforms. We love seeing candidates who can demonstrate their hands-on experience with complex data solutions, so don’t forget to mention any relevant tools or frameworks you’ve worked with.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Focused Futures Consultancy LTD
✨Showcase Your Insurance Experience
Make sure to highlight your previous work on insurance client projects during the interview. This is crucial for this role, so be ready to discuss specific examples of how you've contributed to insurance transformation programmes.
✨Demonstrate Technical Expertise
Prepare to dive deep into your technical skills, especially with Azure Databricks, Spark, and large-scale ETL/ELT pipelines. Be ready to explain your approach to designing scalable data platforms and how you ensure delivery assurance in your projects.
✨Prepare for Leadership Questions
As this is a senior-level position, expect questions about your experience leading technical teams. Think of examples where you've mentored others or shaped best practices, and be prepared to discuss your leadership style.
✨Know the Company and Its Culture
Research the consultancy's values and culture before the interview. Understanding their commitment to diversity, equity, and inclusion will help you align your answers with what they value, making you a more attractive candidate.
