At a Glance
- Tasks: Transform complex data into clear insights 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: Shape data strategies and make a real impact across multiple departments.
- Qualifications: Strong SQL skills and experience in building dashboards with BI tools.
The predicted salary is between 55000 - 70000 £ 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 ~
Senior Engineer, Data Engineering employer: Travel Tech Talent
Join a forward-thinking organisation that prioritises data-driven decision-making and offers a fully remote working environment. As a Senior Engineer in Data Engineering, you will benefit from private medical and health cover, alongside incredible career growth opportunities within a dynamic team that values innovation and collaboration. Embrace the chance to transform complex data into actionable insights while enjoying a supportive work culture that fosters continuous improvement and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with professionals 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 data visualisation skills. Be ready to discuss how you've transformed complex 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! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Engineer, Data Engineering
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. We love seeing practical examples of your work and how you've turned raw 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 the best experience possible. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at Travel Tech Talent
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your SQL skills and be ready to discuss how you've transformed complex datasets into actionable insights. Prepare examples of past projects where you’ve designed data models or built dashboards.
✨Showcase Your Communication Skills
Since this role involves working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of scenarios where you’ve successfully communicated insights to different audiences and be ready to share those experiences.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data challenges. For instance, be ready to discuss how you would improve reporting efficiency or ensure data accuracy. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Continuous Improvement Mindset
Highlight your commitment to performance and quality control. Be prepared to discuss how you’ve identified automation opportunities in previous roles or how you’ve improved data accessibility. This will show that you’re not just about getting the job done, but also about enhancing processes.
