At a Glance
- Tasks: Design and deliver scalable BI solutions to enable data-driven decisions.
- Company: Join a friendly team at a leading data-driven organisation.
- Benefits: Competitive salary, bonus scheme, shares, pension, and 33 days holiday.
- Other info: Enjoy a collaborative environment with regular social events and development opportunities.
- Why this job: Transform complex data into actionable insights and enhance your career.
- Qualifications: Strong skills in SQL, Python, and data modelling; experience with Databricks preferred.
The predicted salary is between 50000 - 60000 € per year.
We are looking for a talented BI Engineer to join our growing data team and play a key role in enabling data-driven decision-making across the organisation. Sitting at the intersection of data engineering, analytics, and the business, you will design and deliver scalable business intelligence solutions that transform complex questions into trusted datasets, insightful dashboards, and actionable outputs. Working within a modern data platform, you will contribute to building analytics-ready datasets in the Gold layer, ensuring data is well-modelled, governed, and aligned to agreed business definitions and KPIs.
What you’ll be doing
- You will partner closely with stakeholders across commercial, marketing, finance, operations, customer care, and engineering teams to understand their requirements and translate them into clear analytical outputs, metrics, and models.
- You will design, develop, and maintain high-quality, scalable data models within a Databricks-based Medallion Architecture, with a strong focus on the Gold layer.
- This includes building curated datasets that are reliable, performant, and aligned to business needs, while ensuring data quality, consistency, and governance across all outputs.
- In addition, you will develop analytical logic using Python, contributing to advanced analytics, feature engineering, and predictive modelling.
- You will collaborate with data scientists and engineers to productionise models and ensure outputs are accessible and usable for the business.
- Working closely with Data Engineering and BI teams, you will help align on data structures, standards, and best practices, while supporting dashboards, reporting tools, and downstream analytics consumption.
What we are looking for
- We are seeking someone with strong technical expertise in SQL, Python, and data modelling, along with experience working with Databricks and Medallion Architecture concepts, particularly within the Gold layer.
- You should have a solid understanding of analytics and reporting data models, and ideally some exposure to machine learning, predictive analytics, or statistical modelling.
- Alongside your technical skills, you will bring strong commercial awareness and the ability to understand how data supports revenue, growth, and operational efficiency.
- You are confident translating business requirements into technical solutions and communicating effectively with both technical and non-technical stakeholders.
- Experience with BI and visualisation tools such as Power BI, Tableau, or Looker, as well as exposure to commercial or marketing datasets, agile environments, and data governance practices, would be highly beneficial.
What’s in it for you?
At the Tote you can expect a friendly working environment with a strong sense of teamwork and pride in what we do. Within this role you’ll develop a broad range of skills and experiences that can enhance your career at the Tote. Additionally, our company benefits package includes:
- Competitive Basic Salary
- Discretionary Bonus Scheme
- Company Shares Option Plan
- Contributory pension scheme
- Life insurance (4 x basic salary)
- Simply Health Cash Plan
- Holiday entitlement (33 days inclusive of bank holidays)
- Study Support and opportunity for progression and development
- Confidential 24/7 365 employee assistance helpline
- Agile and collaborative office environment with free parking, fruit, biscuits, and drinks
- Regular social events, charity events and volunteering opportunities
BI Engineer employer: UK Tote Group
At the Tote, we pride ourselves on fostering a collaborative and supportive work culture that empowers our employees to thrive. As a BI Engineer, you will not only have the opportunity to work with cutting-edge technologies and contribute to impactful data solutions but also enjoy a comprehensive benefits package, including a competitive salary, generous holiday entitlement, and opportunities for professional development. Our agile office environment, complete with free parking and regular social events, ensures that you feel valued and engaged in your role.
StudySmarter Expert Advice🤫
We think this is how you could land BI Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in BI. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your best work. Whether it’s dashboards you’ve built or data models you’ve designed, having tangible examples of your skills can really impress potential employers. Don’t forget to share it on LinkedIn!
✨Ace the Interview
Prepare for interviews by practising common BI-related questions and scenarios. Be ready to discuss how you’ve tackled challenges in past projects and how you can bring value to the team. Confidence is key!
✨Apply Through Our Website
Don’t forget to check out our careers page and apply directly through our website. It shows you’re genuinely interested in joining us and makes it easier for us to spot your application!
We think you need these skills to ace BI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the BI Engineer role. Highlight your experience with SQL, Python, and data modelling, and don’t forget to mention any work you've done with Databricks and Medallion Architecture. 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. We love seeing enthusiasm and a personal touch!
Showcase Your Analytical Skills:In your application, make sure to showcase your analytical skills and any relevant projects you've worked on. Whether it's building dashboards or developing predictive models, we want to know how you’ve turned complex data into actionable insights. Don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better. We can’t wait to hear from you!
How to prepare for a job interview at UK Tote Group
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and data modelling skills. Be ready to discuss how you've used these technologies in past projects, especially in relation to Databricks and Medallion Architecture. The more specific examples you can provide, the better!
✨Understand the Business Needs
Familiarise yourself with how data impacts revenue, growth, and operational efficiency. Be prepared to explain how you would translate business requirements into technical solutions. This shows that you not only have the technical chops but also understand the bigger picture.
✨Showcase Your Collaboration Skills
Since you'll be working closely with various teams, think of examples where you've successfully collaborated with stakeholders. Highlight your ability to communicate complex data concepts to non-technical folks, as this is crucial for a BI Engineer role.
✨Prepare for Practical Scenarios
Expect some practical questions or case studies during the interview. Practice explaining how you would design and deliver scalable BI solutions or how you would ensure data quality and governance. This will demonstrate your problem-solving skills and technical expertise.
