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- Tasks: Transform raw data into actionable insights and create intuitive dashboards.
- Company: Join a fast-paced, data-driven organisation with a focus on innovation.
- Benefits: £65K salary, fully remote work, private medical cover, and amazing career growth.
- Other info: Dynamic team environment with plenty of perks and opportunities for learning.
- Why this job: Shape the future of data analytics and make a real impact across the business.
- Qualifications: Strong SQL skills, experience with BI tools, and a knack for data storytelling.
The predicted salary is between 46800 - 78000 £ per year.
We’re seeking a commercially minded Data Analytics Engineer to join a growing data function supporting a fast-moving, data-driven organisation. This role sits between data engineering and business intelligence, transforming complex data into clear, reliable insights that enable teams across the business to make smarter, faster decisions.
You will play a key role in shaping how data is structured, modelled, visualised and consumed, helping to improve reporting efficiency, data accessibility and analytical capability across multiple departments.
The Role
As a Data Analytics Engineer, you will take ownership of turning raw data into structured, analysis-ready datasets and delivering intuitive dashboards and reporting solutions that drive strategic decision-making.
Responsibilities Include:
- Designing and maintaining scalable data models optimised for analytical use
- Developing and optimising complex SQL transformations to clean, aggregate and enrich data
- Ensuring data accuracy through validation and quality control processes
- Building interactive dashboards and reports using leading BI platforms
- Translating business questions into clear and actionable data insights
- Defining and maintaining consistent KPIs and reporting standards
- Working closely with technical and non-technical stakeholders to gather requirements and deliver effective data solutions
- Documenting data models, reporting logic and governance frameworks
- Improving performance of reporting solutions and identifying automation opportunities
- Supporting self-service analytics and improving data literacy across the business
Ideal Experience:
- Strong experience writing advanced SQL for large-scale data manipulation
- Proven capability in designing analytical data models
- Hands-on experience building dashboards with tools such as Tableau, Power BI, Looker or similar
- Familiarity with modern data transformation tools and workflows (e.g. dbt or equivalent)
- Experience working with cloud-based data warehouses
- Solid understanding of data architecture, ETL/ELT processes and reporting principles
- Ability to interpret business requirements and translate them into technical solutions
- A mindset focused on accuracy, performance and continuous improvement
- Excellent communication skills with the ability to explain complex data concepts clearly
Remuneration:
£65K Base Fully remote working Private medical and health cover Incredible career opportunities with a growing company Many other perks...
If this sounds like a good fit for you and your experience, please apply and one of the team will be in touch to discuss the role further.
Data Engineer in London employer: The Resource Group
Contact Detail:
The Resource Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any projects you've worked on. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation skills. Be ready to discuss how you've tackled real-world problems with data and how you can bring value to the team. Practice makes perfect!
✨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 at StudySmarter.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with SQL, data modelling, and any BI tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of dashboards you've built or data models you've designed. This gives us a taste of your hands-on experience and creativity.
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 the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at The Resource Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data engineering and analytics. Be ready to discuss specific SQL transformations you've implemented and how they improved reporting efficiency. This will show your technical prowess and understanding of the role.
✨Showcase Your Dashboard Skills
Prepare to talk about the dashboards you've built using tools like Tableau or Power BI. Bring examples that highlight how your visualisations have driven strategic decisions. If possible, share links or screenshots to make your case even stronger.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to translate technical jargon into actionable insights for non-technical stakeholders is crucial. Consider doing mock interviews with friends to refine your communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s data strategy and how they envision the role evolving. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.