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 - 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 ~
Ingegnere dei dati (f/m) 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 in a supportive culture that values continuous improvement and collaboration across teams. This role not only allows you to shape the future of data analytics but also empowers you to make a meaningful impact within the company.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 brushing up on common data-related questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨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 Ingegnere dei dati (f/m)
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 analytics 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 hesitate to include them in your application. Whether it's building dashboards or optimising data processes, we love seeing real examples of your work and how you’ve made an impact.
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
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. This will show that you’re not just a theoretical candidate but someone who can hit the ground running.
✨Prepare for Technical Questions
Expect some technical questions related to data modelling and ETL processes. Practice explaining your thought process when solving data-related problems. You might even want to prepare a few examples of complex SQL queries you've written or data models you've designed to showcase your expertise.
✨Understand the Business Context
Since this role sits between data engineering and business intelligence, it’s crucial to understand how data impacts business decisions. Research the company’s industry and think about how data insights can drive strategic decisions. Be ready to discuss how you can translate business questions into actionable data insights.
✨Showcase Your Communication Skills
You’ll need to work closely with both technical and non-technical stakeholders, so demonstrating your communication skills is key. Prepare to explain complex data concepts in simple terms. You could even practice by explaining a data project to a friend who isn’t in the field to ensure you can convey your ideas clearly.
