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For Companies At a Glance
- Tasks: Build and maintain data pipelines while analysing data for actionable insights.
- Company: Dynamic company with a meritocratic culture that values self-starters.
- Benefits: Negotiable salary, flexible working, and support for professional development.
- Why this job: Join a team where your work directly impacts business decisions and innovation.
- Qualifications: Degree in STEM or equivalent experience; strong programming and analytical skills required.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Location: Hybrid - London
Package: Negotiable + Benefits
The Day To Day
As a Data Analytics Engineer within the Data Team, you will work at the intersection of data engineering and analytics, supporting both Data Operations and Data Services. You will collaborate closely with the Data Operations Lead, Data Services Lead, Technical Lead, and Data Scientist to ensure robust data infrastructure and deliver actionable insights to business stakeholders. This hybrid role provides end-to-end ownership of data workflows, from ingestion and transformation to analysis and reporting, and is central to the team’s ability to respond flexibly to demand.
Core Purpose
To build and maintain scalable data pipelines and platforms, while also analysing and interpreting data to generate insights, reports, and recommendations that drive business value and support strategic and operational decision-making.
Day To Day Responsibilities
- Data Engineering: Design, develop, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources. Ensure data quality, integrity, and reliability across platforms. Manage and optimise databases, data warehouses, and cloud data environments (e.g., Azure, AWS). Collaborate with Data Ops to ensure operational excellence and platform reliability.
- Data Analytics: Collect, clean, and analyse data to identify trends, patterns, and actionable insights. Develop dashboards, reports, and visualisations using BI tools (e.g., Power BI, Tableau). Support Data Services in delivering analytical solutions to business stakeholders. Communicate findings clearly to both technical and non-technical audiences.
- Collaboration: Work closely with Data Operations and Data Services Leads to balance priorities and allocate resources effectively. Partner with Technical Lead and Data Scientist to ensure solutions align with technical guiderails, best practices, and advanced analytical approaches. Engage with business stakeholders to understand requirements and deliver value-added solutions.
- Continuous Improvement: Champion a culture of learning, innovation, and process optimisation. Stay current with emerging data technologies, analytics methods, and industry trends. Proactively introduce new tools and approaches to improve team capability and business outcomes.
- Governance & Compliance: Ensure all data activities comply with governance, privacy, and security standards. Contribute to data management initiatives 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).
- 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 in multidisciplinary teams and engage with stakeholders at all levels.
- Commitment to continuous learning and professional development.
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 you’re welcome to use one.
- An environment built around supporting and developing our staff with funding available for relevant professional qualifications.
We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.
Data Analytics Engineer employer: Brown & Brown UK
Contact Detail:
Brown & Brown UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. Think about how you can explain your past experiences in a way that highlights your problem-solving skills and teamwork.
✨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 awesome team.
We think you need these skills to ace Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analytics 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 contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data analytics. Share why you're excited about this role at StudySmarter and how your background aligns with our mission. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any data projects, whether in a professional setting or as personal endeavours, make sure to mention them. Include links to dashboards or reports you've created, especially if they demonstrate your ability to derive insights from data.
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 us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Brown & Brown UK
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like Python, SQL, and BI tools such as Power BI or Tableau. Brush up on your ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Mindset
Prepare to share specific examples of how you've identified trends and generated actionable insights from data. Think about a time when your analysis led to a significant business decision and be ready to explain your thought process.
✨Collaboration is Key
Since this role involves working closely with various teams, be prepared to discuss your experience in collaborative environments. Highlight instances where you’ve successfully partnered with technical leads or business stakeholders to deliver value-added solutions.
✨Embrace Continuous Learning
Demonstrate your commitment to staying current with emerging data technologies and analytics methods. Share any recent courses, certifications, or self-study initiatives that showcase your dedication to professional development and innovation.
