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 focus on innovation.
- Benefits: Enjoy fully remote work, private medical cover, and incredible career growth opportunities.
- Other info: Collaborate with diverse teams to enhance data accessibility and analytical capabilities.
- Why this job: Make a real impact by shaping data strategies and improving business intelligence.
- Qualifications: Strong SQL skills, experience with BI tools, and a knack for data modelling.
The predicted salary is between 45000 - 55000 £ 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.
Bi Data Engineer employer: Travel Tech Talent
Join a dynamic and innovative team as a Data Analytics Engineer, where you will thrive in a fully remote environment that champions flexibility and work-life balance. Our company offers exceptional career growth opportunities, comprehensive 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 real impact across multiple departments.
StudySmarter Expert Advice🤫
We think this is how you could land Bi Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially those dashboards and data models you've built. We want to see how you turn raw data into insights, so make sure your projects are front and centre when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. We recommend practising common interview questions and even doing mock interviews with friends. The more comfortable you are discussing your technical expertise, the better you'll shine during the real deal!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analytics Engineers like you. Plus, applying directly shows your enthusiasm and commitment to joining our awesome team.
We think you need these skills to ace Bi Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analytics Engineer. 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 and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to dashboards or reports you've created. This gives us a clear picture of your capabilities and how you approach data challenges.
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 best experience possible. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Travel Tech Talent
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how you've used them to manipulate large datasets. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your Dashboard Skills
Familiarise yourself with the BI tools mentioned in the job description, like Tableau or Power BI. Bring examples of dashboards you've built and be ready to explain the design choices you made. This will demonstrate your ability to turn data into actionable insights.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated data insights to different audiences, as this will highlight your communication skills.
✨Understand the Business Context
Research the company and its industry to understand the types of data-driven decisions they might be making. Prepare to discuss how your role as a Data Analytics Engineer can directly impact their strategic goals. This shows that you're not just a techie but also commercially minded.
