At a Glance
- Tasks: Build and maintain data pipelines, analyse data, and generate actionable insights.
- Company: Join a forward-thinking company with a hybrid work culture in London.
- Benefits: Negotiable salary, flexible working, and support for professional qualifications.
- Other info: Embrace continuous learning and collaborate with diverse teams on innovative projects.
- Why this job: Make an impact by transforming data into valuable business insights.
- Qualifications: Degree in STEM or equivalent, strong programming skills, and experience with cloud platforms.
The predicted salary is between 60000 - 80000 £ 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 employer: 897 Brown & Brown (Europe) Limited
As an Analytics & Data Engineer at our London-based company, you will thrive in a dynamic hybrid work environment that champions flexibility and innovation. We offer competitive salaries, comprehensive benefits, and robust support for professional development, ensuring you have the resources to grow your skills and advance your career. Join a collaborative culture where your insights drive meaningful business value and contribute to a forward-thinking approach in data engineering.
Contact Details:
897 Brown & Brown (Europe) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics & Data Engineer
✨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, and any cool analytics work you've done. This gives potential employers a taste of what you can bring to the table.
✨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 with non-techies.
✨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 about their job search!
We think you need these skills to ace Analytics & Data Engineer
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 examples of your work, especially if they involve data pipelines, analytics, or BI tools like Power BI or Tableau.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your materials in one go. Plus, it shows us you're serious about 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 and be prepared to demonstrate your skills if asked.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in previous roles. Think about specific instances where you identified trends or insights from data and how those findings impacted the business. This will show your analytical mindset and ability to deliver value.
✨Understand the Company’s Data Needs
Research the company’s current data practices and any recent projects they've undertaken. This will help you tailor your responses to their specific needs and demonstrate that you're genuinely interested in contributing to their goals.
✨Emphasise Collaboration
Since the role involves working closely with various teams, be ready to discuss your experience collaborating with others. Share examples of how you've successfully partnered with technical leads or business stakeholders to deliver solutions, highlighting your communication skills.
