At a Glance
- Tasks: Lead a team in building a critical data warehouse and enhance data-driven decision-making.
- Company: Join a leading media advertising company with a mission to make a difference.
- Benefits: Competitive salary, bonuses, and benefits, plus flexible working in London.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Shape the future of media with impactful data solutions for top brands.
- Qualifications: Expertise in SQL, data modelling, and experience with cloud environments required.
The predicted salary is between 60000 - 80000 £ per year.
Our mission is to create tech that makes a difference, empowers teams, delights customers, and shapes the media world of tomorrow. We’re one of the leading media advertising companies with over 33,000 advertising sites across the UK and EU. As part of the global Bauer Media Group, we’re committed to being both a platform for brands and a platform for good. From Netflix, Disney, The National Lottery, Heineken and many more, we advertise for some of the best brands which reach millions of people every day! We don’t just sell space, we deliver impact for our clients and value for the communities we serve.
About The Role
We are seeking a Senior Analytics Engineer - Technical Lead to steer our team through a critical data warehouse build while elevating data-driven decision‑making across the business. Reporting to the Analytics Manager and working alongside four Lead/Specialist Engineers, you will own the team’s technical direction and output quality, provide the strategic partnership needed for smart prioritization, and actively champion data literacy across business functions. Your authority is technical, but your impact will be measured by internal engineering excellence and external business confidence in our data.
What you’ll be doing:
- Set and enforce the data modelling standards that govern how the team designs facts, dimensions, aggregates, and semantic layers.
- Review and exercise independent judgement on modelling approaches proposed by Lead Analytics Engineers, making formal recommendations where decisions carry material risk or long‑term architectural consequence.
- Own the technical integrity of the curated data layer – ensuring what is built is correct, performant, well‑documented, and genuinely fit for business use.
- Translate business requirements into data model designs that are both technically sound and analytically useful.
- Act as the final technical quality checkpoint before work reaches production or is presented to business stakeholders.
- Bring genuine analytical expertise: the ability to sit with data, identify what it is and is not telling you, and present findings in a way that is clear, honest, and actionable.
What you’ll bring to the team:
- Deep SQL expertise, including complex transformations, window functions and performance tuning in a cloud environment.
- Proven experience designing analytical or data warehouse models.
- Strong dimensional modelling knowledge such as Kimball approaches, star schemas and aggregates.
- Experience with Databricks or similar platforms.
- Hands on ownership of curated data layers used by the business.
- Strong understanding of end‑to‑end data dependencies across a modern data stack (pipelines → models → semantic layer → consumption).
- Strong understanding of data quality, profiling and validation techniques.
Lead Analytics Engineer employer: Bauer Media Outdoor
At Bauer Media Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London office offers a dynamic work environment where you can thrive alongside talented professionals while contributing to impactful projects for renowned brands. With a strong commitment to employee growth, competitive benefits, and a focus on data-driven decision-making, we empower our team members to make a meaningful difference in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to analytics engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your projects and data models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 genuinely interested in joining our mission to make a difference.
We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Analytics Engineer role. Highlight your SQL expertise, data modelling knowledge, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 mission at StudySmarter. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Analytical Skills:In your application, don’t just list your skills; demonstrate them! Share examples of how you've used data to drive decisions or improve processes in previous roles. We’re looking for someone who can translate complex data into actionable insights.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Bauer Media Outdoor
✨Know Your Data Modelling Standards
Before the interview, brush up on data modelling standards, especially those related to facts, dimensions, and aggregates. Be ready to discuss how you would enforce these standards and provide examples from your past experience.
✨Showcase Your SQL Skills
Prepare to demonstrate your deep SQL expertise. Think of specific complex transformations or performance tuning scenarios you've tackled in a cloud environment. Being able to articulate your thought process will impress the interviewers.
✨Understand Business Requirements
Familiarise yourself with how to translate business requirements into data model designs. Be prepared to discuss a time when you successfully aligned technical solutions with business needs, showcasing your analytical expertise.
✨Highlight Your Leadership Experience
As a Lead Analytics Engineer, you'll need to own the technical direction of the team. Share examples of how you've led teams in the past, particularly in ensuring data quality and integrity, and how you championed data literacy across functions.
