At a Glance
- Tasks: Transform complex data into clear insights and create intuitive dashboards for smarter decision-making.
- Company: Join a fast-moving, data-driven organisation with a growing data function.
- Benefits: Enjoy fully remote work, private medical cover, and incredible career opportunities.
- Other info: Collaborate with diverse teams and enhance your data literacy in a dynamic environment.
- Why this job: Make a real impact by shaping data strategies and improving reporting efficiency.
- Qualifications: Strong SQL skills and experience with BI tools like Tableau or Power BI.
The predicted salary is between 45000 - 60000 £ 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.
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.
- 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
- 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
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. A mindset focused on accuracy, performance and continuous improvement. Excellent communication skills with the ability to explain complex data concepts clearly.
Fully remote working. Private medical and health cover. Incredible career opportunities with a growing company.
Data & BI Engineer employer: Travel Tech Talent
Join a dynamic and innovative team as a Data & BI Engineer, where you will thrive in a fully remote environment that champions flexibility and work-life balance. Our company offers exceptional career growth opportunities, private medical and health cover, and a collaborative culture that values your contributions in transforming data into actionable insights. Be part of a fast-paced, data-driven organisation that empowers you to make a meaningful impact across multiple departments.
StudySmarter Expert Advice🤫
We think this is how you could land Data & BI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect 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 potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools. Be ready to discuss how you've transformed data into actionable insights and how you’ve collaborated with teams to deliver effective solutions.
✨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 & BI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data & BI 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 all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Travel Tech Talent
✨Know Your Data Tools
Familiarise yourself with the specific BI tools mentioned in the job description, like Tableau or Power BI. Be ready to discuss your experience with these platforms and how you've used them to create impactful dashboards.
✨Master SQL Queries
Brush up on your SQL skills, especially advanced queries for data manipulation. Prepare to showcase examples of complex transformations you've performed and how they improved data accuracy or reporting efficiency.
✨Understand Business Needs
Think about how you can translate business questions into actionable insights. Be prepared to discuss past experiences where you collaborated with stakeholders to gather requirements and deliver effective data solutions.
✨Showcase Your Communication Skills
Practice explaining complex data concepts in simple terms. During the interview, demonstrate your ability to communicate effectively with both technical and non-technical audiences, as this is crucial for the role.
