At a Glance
- Tasks: Transform raw financial data into clean, structured systems and build scalable data infrastructure.
- Company: Join a dynamic team in London focused on innovative data solutions for the financial sector.
- Benefits: Enjoy hybrid work flexibility, mentorship, and hands-on experience with cutting-edge technologies.
- Other info: Collaborative environment with excellent career growth opportunities and direct mentorship from experts.
- Why this job: Make a real impact by turning complex data into actionable insights while growing your skills.
- Qualifications: 0-2 years of experience in data engineering or software development; strong Python and SQL skills.
The predicted salary is between 28800 - 48000 £ per year.
Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus
I'm currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team.
This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business's data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform.
The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time.
The role
You will play a key role in helping to evolve and modernise the business's data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture.
This role will involve:
- Designing, building and optimising scalable ETL / ELT pipelines
- Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure
- Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments
- Building and improving data models to support reporting, analytics and business decision-making
- Improving data quality, validation, monitoring and overall reliability of core datasets
- Supporting integration work across internal systems, third-party platforms and APIs
- Working closely with business stakeholders to translate operational requirements into scalable technical solutions
- Contributing to reporting and dashboard capability through tools such as Power BI
- Supporting current and future AI / LLM-related projects where relevant
What they're looking for
- 3+ years' experience in Data Engineering or a closely related role
- Strong hands-on experience with SQL and Python
- Experience building and maintaining production-grade data pipelines
- Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake
- Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments
- Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows
- Experience with Power BI, modern data tooling and version control / CI/CD
- Someone comfortable working with non-technical stakeholders and gathering requirements from the business
- Insurance, London Market or insurance broking data experience would be beneficial, but is not essential
- Interest in emerging AI / LLM / AI-assisted tooling is a bonus
Package
- £70,000–£100,000 base salary
- 30–40% bonus
- Hybrid working
- 33 days holiday, plus the option to buy 5 additional days
- Excellent pension, double matched by the company up to 10%
This is a genuinely strong opportunity for a Data Engineer who wants:
- real ownership across data platform modernisation
- the chance to work on Azure-based transformation work
- exposure to a complex, business-critical data environment
- a strong overall package and benefits offering
- involvement in both current data engineering priorities and future AI initiatives
- If this looks of interest, please apply with your most up-to-date CV.
If this looks of interest, please apply with your most up to date CV
Data Engineer in Slough employer: Intellect Group
Join a forward-thinking company that values innovation and collaboration, where as a Graduate Data Engineer in London, you'll have the opportunity to work on impactful projects that transform financial data into actionable insights. With a hybrid working model, you’ll enjoy the flexibility of remote work while benefiting from direct mentorship and hands-on experience in a supportive environment that fosters professional growth. Embrace the chance to develop your skills alongside industry experts in a culture that prioritises learning and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at industry events. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or cloud platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practising with friends or using mock interview platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that match the job description. We want to see your Python and SQL skills shine, so don’t hold back on showcasing any projects or internships you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about data engineering. Share your motivation for applying and how you see yourself growing in this role. We love hearing about your curiosity and eagerness to learn!
Showcase Your Projects:If you've worked on any data-related projects, make sure to mention them! Whether it’s a personal project or something from your studies, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Intellect Group
✨Know Your Tech
Brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in projects or internships. If you’ve dabbled with Google Cloud Platform, make sure to mention it — they’ll want to know how familiar you are with tools like BigQuery and Dataflow.
✨Understand ETL Processes
Since the role involves building ETL pipelines, be prepared to explain what ETL/ELT means and how you’ve applied these processes in your work. Think of specific examples where you transformed raw data into structured insights, as this will show your practical understanding.
✨Show Your Curiosity
This position is all about learning and growth, so don’t hesitate to express your eagerness to develop your skills. Ask insightful questions about the team’s current projects or the technologies they use. This shows that you’re not just interested in the job, but also in contributing to their success.
✨Collaborative Mindset
Highlight any experience you have working in teams, especially in collaborative environments. Discuss how you’ve partnered with others to solve problems or complete projects. This will resonate well, as they value teamwork and mentorship in their hybrid setting.
