At a Glance
- Tasks: Design and maintain scalable data pipelines while generating actionable insights.
- Company: Join a forward-thinking tech company with a focus on collaboration and innovation.
- Benefits: Negotiable salary, flexible working, professional development funding, and standard benefits.
- Other info: Embrace a culture of learning and innovation with excellent career growth opportunities.
- Why this job: Make an impact by transforming data into valuable insights in a dynamic environment.
- Qualifications: Degree in STEM or equivalent experience; strong programming skills in Python, SQL, or R.
The predicted salary is between 50000 - 65000 £ per year.
As a Analytics & Data Engineer within the Data Team, you will sit at the intersection of data engineering and analytics—designing robust, scalable data foundations while generating insights that support operational and strategic decision‑making. The role provides end‑to‑end ownership of data workflows, including ingestion, transformation, modelling, analysis, and testing.
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.
The day to day
- 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.
- 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.
- 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.
About you
- 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 but not essential.
- Experience shaping data for advanced analytics or ML, including feature extraction and dataset quality checks.
The rewards
- A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
- A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff.
- A flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one.
- An environment built around supporting and developing our staff with funding available for relevant professional qualifications.
Data Engineer: Analytics & Platform Builder (Remote) employer: Brown & Brown UK
As a Data Engineer at our company, you will thrive in a collaborative and innovative environment that prioritises employee growth and development. With flexible working options and a commitment to professional qualifications, we empower our team to excel while delivering impactful insights that drive business success. Join us to be part of a culture that values open communication and continuous learning, all while working remotely or from one of our welcoming offices.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Analytics & Platform Builder (Remote)
✨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 you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you’d explain your past projects and the impact they had—this is your chance to shine!
✨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 Data Engineer: Analytics & Platform Builder (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with ETL/ELT processes, cloud platforms, and any relevant programming skills. We want to see how your background aligns with our needs!
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 you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills:In your application, don’t forget to demonstrate your analytical mindset. Share examples of how you've collected, cleaned, and analysed data in the past. We love seeing how you’ve turned data into actionable insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Brown & Brown UK
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, and BI tools such as Power BI or Tableau. Brush up on your knowledge of cloud platforms like Azure or AWS, as they’ll likely ask you about your experience with these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data challenges. Think about how you’ve designed ETL/ELT pipelines or ensured data quality. Being able to articulate your thought process will demonstrate your analytical mindset and problem-solving abilities.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex data concepts in simple terms. You might be asked to present findings or insights, so being able to communicate effectively is key to showing you can bridge the gap between data and business needs.
✨Emphasise Continuous Learning
This role values a commitment to learning and innovation. Be ready to discuss any recent courses, certifications, or projects that showcase your dedication to staying updated with modern data engineering practices and AI concepts. This will show that you’re proactive and eager to grow within the field.
