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For Companies At a Glance
- Tasks: Transform raw data into business-ready models and lead a team of engineers.
- Company: Join a forward-thinking company that values data-driven decisions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategies and leading innovative projects.
- Qualifications: Strong SQL skills, experience with dbt, and leadership in analytics.
- Other info: Dynamic role with opportunities to work on multi-market initiatives.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
As a Senior Analytics Engineer, you’ll transform raw data into well-modelled, business-ready marts and semantic layers. You’ll lead on Kimball-style modelling, dbt transformations, and semantic definitions for BI tools like Tableau, Power BI, and Looker. This role combines technical leadership with line management (2–3 engineers) and collaboration with senior stakeholders on multi-market initiatives.
Key Responsibilities
- Design and own dimensional data models and marts in dbt following Kimball principles.
- Build and maintain dbt pipelines from raw layers to gold layer marts, ensuring performance and quality.
- Define and enforce modelling and testing standards across the team.
- Own parts of the semantic layer and core metrics across BI tools.
- Translate technical schemas into clear business concepts and documentation.
- Lead migration of Redshift/BigQuery workloads into Snowflake and dbt.
- Refactor legacy logic and optimise models for performance.
- Champion documentation-first practices and data quality standards.
- Use and improve observability tooling (dbt tests, Great Expectations, internal observability systems).
- Line manage 2–3 Analytics Engineers, coaching and maintaining high technical standards.
- Partner with DDS leadership and stakeholders to define and execute data strategy.
- Engage with markets to understand needs and communicate delivery plans.
What We’re Looking For
- Strong SQL; hands-on with Snowflake (plus Redshift/BigQuery)
- Proven experience with dbt at scale
- Dimensional modelling using Kimball methodology
- Python for data engineering tasks
- Airflow (or similar) and Git-based workflows
- Familiarity with BI tools (Tableau, Looker, Power BI)
- Experience of cloud environments, particularly AWS and GCP
- Experience leading large-scale projects and managing engineers
- Clear communicator, collaborative, and strong ownership of data models
Nice-to-Haves:
- Great Expectations, semantic layer tooling, Terraform, media/advertising background
Senior Analytics Engineer in London employer: Bauer Media Group
Contact Detail:
Bauer Media Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the hunt for a Senior Analytics Engineer role. 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 best dbt transformations, dimensional models, and any BI tools you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Snowflake knowledge. Be ready to discuss your experience with Kimball modelling and how you've led projects in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, dbt, and dimensional modelling in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Senior Analytics Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This helps us see why you’re a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Remember, we want to understand your journey and how you can contribute to our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Bauer Media Group
✨Know Your Data Models
Make sure you’re well-versed in dimensional modelling, especially using Kimball principles. Be ready to discuss how you've designed and owned data models in the past, and think of examples where your work has directly impacted business outcomes.
✨Showcase Your Technical Skills
Brush up on your SQL and dbt skills before the interview. Prepare to demonstrate your hands-on experience with Snowflake, Redshift, or BigQuery, and be ready to explain how you've built and maintained dbt pipelines. Practical examples will help you stand out!
✨Communicate Clearly
As a Senior Analytics Engineer, you'll need to translate complex technical concepts into clear business language. Practice explaining your previous projects in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between tech and business.
✨Leadership and Collaboration
Be prepared to discuss your experience in managing teams and leading projects. Think about how you've coached engineers and enforced standards in your previous roles. Highlight your collaborative approach and how you’ve partnered with stakeholders to drive data strategy.
