At a Glance
- Tasks: Transform complex data into clear insights and create intuitive dashboards.
- 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.
- 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 driving smarter decisions.
- Qualifications: Strong SQL skills and experience in building analytical data models.
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 ~
Ingegnere Dei Dati employer: Travel Tech Talent
Join a forward-thinking organisation that prioritises data-driven decision-making and offers a fully remote working environment. As a Data Analytics Engineer, 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 Ingegnere Dei Dati
✨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 projects, dashboards, and any SQL transformations you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. Think about how you can explain complex concepts in simple terms, as you'll need to communicate with both technical and non-technical folks.
✨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 Ingegnere Dei Dati
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 showcase your analytical skills.
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 chance to show us what you've got!
How to prepare for a job interview at Travel Tech Talent
✨Know Your Data Tools
Make sure you’re familiar with the data tools mentioned in the job description, like SQL, Tableau, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data architecture and ETL/ELT processes. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you transformed raw data into actionable insights. Highlight your thought process and the impact your work had on decision-making within your previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s data strategy or challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
