At a Glance
- Tasks: Build and maintain data pipelines, analyse data, and generate actionable insights.
- Company: Dynamic tech company offering a hybrid work environment in London.
- Benefits: Negotiable salary, flexible working, and support for professional qualifications.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
- Why this job: Join a team that champions innovation and makes a real impact with data.
- Qualifications: Degree in STEM or equivalent, strong programming skills, and experience with cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
Location: Hybrid – London
Package: Negotiable + Benefits
Core Purpose
To build and maintain scalable data pipelines and platforms, and to analyse and interpret data to generate insights, reports, and recommendations that deliver business value.
Responsibilities
- Data Engineering – Design, build, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources. Ensure data quality, integrity, and reliability through automated testing and validation. Manage and optimise databases, data warehouses, and cloud data environments (e.g. Azure/AWS). Collaborate with Data Operations to ensure platform stability and operational excellence.
- Analytics & Insight – Collect, clean, and analyse structured and unstructured data to identify trends and actionable insights. Develop dashboards and reports using BI tools such as Power BI or Tableau. Communicate findings clearly to both technical and non‑technical audiences. Prepare datasets for AI/ML use cases, including feature engineering, dataset shaping, and data labelling.
- Collaboration & Delivery – Work closely with Data Operations and Data Services leads to balance priorities and resource allocation. Partner with Technical Leads to ensure solutions align with established technical guardrails and best practices. Engage with business stakeholders to understand requirements and translate them into deliverable solutions. Collaborate with Data Scientists and AI Engineers on model deployment, vector database integration, and monitoring.
- Continuous Improvement – Champion a culture of learning, innovation, and process optimisation. Proactively introduce new tools, automation opportunities, and analytical approaches. Explore emerging frameworks and implement practical improvements.
- Governance & Compliance – Ensure all data activities comply with governance, privacy, and security standards. Contribute to data management initiatives, documentation, and best practices.
Qualifications
- Degree in a STEM subject or equivalent experience.
- Strong programming skills (Python, SQL, R, or similar).
- Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop).
- Knowledge or experience with Denodo is an advantage.
- Proficiency in BI and data visualisation tools (Power BI, Tableau).
- Solid understanding of data modelling, ETL/ELT processes, and database management.
- Analytical mindset with strong problem‑solving and communication skills.
- Ability to work collaboratively across multidisciplinary teams and engage with stakeholders at all levels.
- Commitment to continuous learning and professional development.
- Awareness of modern AI/LLM concepts and the ability to support AI‑ready data engineering of value (not essential).
- Experience shaping data for advanced analytics or ML, including feature extraction and dataset quality checks.
Benefits
- Negotiable basic salary and standard benefits (holiday, company pension, etc.).
- A flexible working methodology: work from home or office as you prefer.
- Central support for professional qualifications.
We are an Equal Opportunity Employer.
Analytics & Data Engineer in London employer: 897 Brown & Brown (Europe) Limited
Join a forward-thinking company that values innovation and collaboration, offering a hybrid working model in the vibrant city of London. With a strong commitment to employee growth, you will have access to central support for professional qualifications and a culture that champions continuous learning. Enjoy a competitive salary package alongside standard benefits, all while contributing to impactful data-driven solutions that drive business value.
Contact Details:
897 Brown & Brown (Europe) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics & Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, or any cool analytics work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, especially when discussing technical concepts.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Analytics & Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics & Data Engineer role. Highlight your programming skills, experience with cloud platforms, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific tools or technologies you’ve used that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in data pipelines and analytics. It gives us a glimpse of what you can do!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at 897 Brown & Brown (Europe) Limited
✨Know Your Data Tools
Make sure you brush up on your knowledge of the tools mentioned in the job description, like Python, SQL, and BI tools such as Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in the past. Think about times when you had to clean data, build ETL pipelines, or optimise databases. This will demonstrate your analytical mindset and ability to deliver actionable insights.
✨Communicate Clearly
Since you'll be working with both technical and non-technical audiences, practice explaining complex data concepts in simple terms. You might even want to prepare a mini-presentation on a past project to showcase your findings and how you communicated them effectively.
✨Emphasise Continuous Learning
The role values a commitment to continuous improvement, so be ready to discuss any recent courses, certifications, or new tools you've explored. Highlighting your proactive approach to learning will resonate well with the interviewers and show that you're keen to grow within the role.
