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 business intelligence.
- Qualifications: Strong SQL skills, experience in data modelling, and dashboard creation.
The predicted salary is between 50000 - 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 ~
IT Data Architect employer: Travel Tech Talent
Join a forward-thinking organisation that prioritises data-driven decision-making and offers a fully remote working environment. As an IT Data Architect, 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 shape data strategies while enjoying a supportive culture that fosters continuous improvement and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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! 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 IT Data Architect
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 Technical Skills:Don’t hold back on showcasing your technical prowess! Include examples of complex SQL transformations you've done, dashboards you've built, or data models you've designed. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
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 architecture and ETL/ELT processes relevant to the role. Brush up on your SQL skills and be ready to discuss how you've transformed complex datasets into actionable insights in previous roles.
✨Showcase Your Dashboard Skills
Prepare to demonstrate your experience with BI tools like Tableau or Power BI. Bring examples of dashboards you've built, and be ready to explain the thought process behind their design and how they’ve driven decision-making.
✨Communicate Clearly
Since this role involves working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think about how you can convey your ideas clearly and effectively during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s data strategy and how you can contribute. Inquire about their current data challenges and how they envision the role of a Data Analytics Engineer evolving within the organisation.
