At a Glance
- Tasks: Transform raw data into actionable insights and build scalable data models.
- Company: Join Bauer Media Group, a leading media business enriching lives across Europe.
- Benefits: Enjoy 28 days holiday, flexible working, and access to professional development.
- Other info: Collaborative team environment with opportunities for growth and innovation.
- Why this job: Make a real impact by modernising our data platform with cutting-edge technologies.
- Qualifications: Strong SQL skills and experience with cloud data warehouses required.
The predicted salary is between 50000 - 65000 £ per year.
Location: London, Hybrid [1-2 days per week on site]
Our Team: How we enrich everyday life
You’ll be joining our Data & Decision Sciences (DDS) team at Bauer Media Audio, where we use data to power decisions across nine European markets. We’re a collaborative, cross-functional team working across commercial revenue, digital audiences, and consumer competitions, turning complex data into insights that shape how millions of people engage with our brands every day.
Working closely with Data Engineers, Data Scientists, Product Managers and business stakeholders, we combine central expertise with local market knowledge to deliver real impact.
The difference you will make
As an Analytics Engineer, you’ll play a key role in transforming raw data into trusted, business-ready insights. You’ll help build the data models and semantic layers that underpin reporting and analytics across Bauer Media Audio, enabling teams to make smarter, faster decisions. This is an exciting opportunity to help modernise our data platform, working with emerging technologies and shaping how data is structured, defined, and consumed across the business.
Your role
You’ll design and build scalable data models and pipelines that translate complex data into meaningful insights for the business. Responsibilities include, but are not limited to:
- Design and develop dimensional data models and marts using dbt and Kimball principles
- Build and maintain transformation pipelines from raw data to business-ready datasets
- Define and evolve semantic layers to ensure consistent metrics and reporting across tools like Looker, Power BI and Tableau
- Collaborate with Data Engineers to shape upstream data and improve data pipelines
- Implement data quality checks and maintain reliable, trusted datasets
- Support the migration and modernisation of legacy data platforms to Snowflake
- Maintain documentation including data dictionaries and semantic definitions
- Contribute to agile workflows, code reviews, and cross-functional collaboration
- Get involved with setting up Airflow DAGs or write Terraform to setup infrastructure.
The skills you will bring
Must-have:
- Strong SQL skills and experience with modern cloud data warehouses (e.g. Snowflake, Redshift, or BigQuery)
- Hands-on experience with dbt for data transformation and modelling
- Solid understanding of dimensional modelling (Kimball methodology)
- Experience working with BI tools such as Looker or Power BI
- Comfort working in agile teams using tools like Jira and GitHub
- Strong communication skills with the ability to translate data into business concepts
Nice-to-have:
- Experience with Snowflake or modern cloud data platforms
- Exposure to Airflow, Terraform, or CI/CD practices
- Experience with data quality tools such as Great Expectations
- Familiarity with Tableau or multi-BI environments
- Background in media, digital, or subscription-based businesses
- Experience using Python for data and analytics engineering tasks
About Bauer Media Group
We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe’s largest Publishers. From women’s and celebrities’ magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France – both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people‘s everyday lives.
What’s in it for you
You’ll have 28 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider – Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You’ll have the opportunity for flexible working. And much more!
We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know by emailing careershub@bauermedia.co.uk
We are actively recruiting for this position, so the job advert may close earlier than expected.
If you have any feedback regarding our UK recruitment process, please email careershub@bauermedia.co.uk we would love to hear from you.
Analytics Engineer in London employer: BAUER MEDIA
BAUER MEDIA is an excellent employer that fosters a vibrant and collaborative work culture, allowing Multimedia Reporters to thrive in their roles while working remotely from the beautiful region of South Wales. With a strong emphasis on professional development, employees are encouraged to grow their skills in multimedia journalism, supported by a team that values creativity and innovation. The company also offers competitive benefits and the unique opportunity to engage with local communities, making it a rewarding place for those passionate about impactful storytelling.
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We think you need these skills to ace Analytics Engineer in London
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
