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 and enhance your data literacy in a dynamic environment.
- Why this job: Make a real impact by shaping data strategies and improving analytical capabilities across the business.
- Qualifications: Strong SQL skills, experience in data modelling, and dashboard creation with BI tools.
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 Dati employer: Travel Tech Talent
Join a dynamic and innovative team as a Data Analytics Engineer, where you'll thrive in a fully remote environment that champions flexibility and work-life balance. Our company prioritises employee growth, offering incredible career advancement opportunities while fostering a collaborative culture that values both technical expertise and creative problem-solving. With comprehensive private medical and health cover, we ensure our employees are well-supported, allowing you to focus on transforming data into actionable insights that drive strategic decisions across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues 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 you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨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 stakeholders.
✨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 Dati
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Analytics Engineer role. Highlight your SQL expertise, dashboard-building experience, and any relevant projects that showcase your ability to turn raw data into actionable insights.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Share specific examples of how you've transformed complex data into clear insights in previous roles, and don’t forget to mention your familiarity with BI tools!
Showcase Your Technical Skills:In your application, be sure to highlight your hands-on experience with SQL and any data transformation tools you've used. We want to see your ability to design analytical data models and build interactive dashboards, so include any relevant projects or achievements.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people in our growing data function!
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 analytical mindset and how you’ve improved reporting efficiency or data accessibility in previous roles.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company’s data strategy and how you can contribute. This not only demonstrates your enthusiasm but also helps you gauge if the role aligns with your career goals.
