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- Tasks: Transform raw data into actionable insights and build reliable reporting models.
- Company: Join Bauer Media Group, a leading media business with a consumer-first mindset.
- Benefits: Enjoy 28 days holiday, flexible working, and access to professional development.
- Why this job: Make a real impact in a dynamic team using cutting-edge data tools.
- Qualifications: Strong SQL skills and hands-on experience with dbt and BI tools required.
- Other info: Inclusive workplace with a commitment to diversity and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: London-based with a hybrid model (2 days per week in the office).
About the Team
At Bauer Media Audio, our Data & Decision Sciences (DDS) team is at the heart of driving data-led decisions across nine European markets. We transform data into actionable insights that power business growth, enhance audience engagement, and improve operational efficiency. Working collaboratively across functions, we treat data as a strategic partner—not just a support function.
About the Role
We’re looking for an Analytics Engineer to join our Data Enablement team. In this role, you’ll turn raw data into well-structured, business-ready models that enable reliable reporting and analytics. You’ll work with modern tools like dbt, Snowflake, and BI platforms such as Looker, Power BI, and Tableau to create a semantic layer that ensures consistent metrics and insights. This is a hands-on engineering role with a strong business focus. You’ll collaborate with Data Engineers, DevOps, and business stakeholders to modernize our data estate and deliver high-quality, trusted data solutions.
Key Responsibilities
- Design and build dimensional data models and marts using dbt and Kimball principles.
- Develop and maintain dbt pipelines for transforming raw data into gold-layer marts.
- Define and maintain a semantic layer for consistent metrics across BI tools.
- Contribute to the migration from Redshift/BigQuery to Snowflake.
- Implement data quality checks using dbt tests and Great Expectations.
- Collaborate in agile squads, participate in code reviews, and maintain documentation.
What We’re Looking For
Must-Have Skills
- Strong SQL skills (Redshift or BigQuery experience; Snowflake preferred).
- Hands-on experience with dbt (models, tests, production environments).
- Solid understanding of dimensional modelling (Kimball-style).
- Familiarity with semantic layer design and BI tools (Looker, Power BI).
- Practical Python experience for data engineering tasks.
- Agile team experience (Jira, Confluence) and Git-based workflows.
- Cloud experience (ideally AWS).
Nice-to-Have Skills
- Advanced Snowflake experience.
- Exposure to Airflow, Great Expectations, and dbt-expectations.
- Familiarity with Tableau and multi-tool BI environments.
- Knowledge of CI/CD, Infrastructure-as-Code (Terraform).
- Industry experience in media, digital audiences, or subscription businesses.
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 colour, 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, however, the job advert may close earlier than expected.
Analytics Engineer employer: BAUER MEDIA
Contact Detail:
BAUER MEDIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Bauer Media. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills in real-time! Consider working on a small project or case study related to analytics engineering and share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for those technical interviews! Brush up on SQL, dbt, and BI tools. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your SQL skills, dbt experience, and any relevant projects that showcase your ability to turn raw data into actionable insights.
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 your skills align with our mission at Bauer Media. Don’t forget to mention your experience with BI tools and cloud platforms.
Showcase Your Team Spirit: We love collaboration! In your application, share examples of how you've worked in agile teams or contributed to projects with cross-functional stakeholders. This will show us you’re a great fit for our Data Enablement team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our awesome benefits there!
How to prepare for a job interview at BAUER MEDIA
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like dbt, Snowflake, and BI platforms. Familiarise yourself with their functionalities and how they can be applied to real-world scenarios. This will not only help you answer technical questions but also demonstrate your genuine interest in the role.
✨Showcase Your SQL Skills
Since strong SQL skills are a must-have, prepare to discuss your experience with Redshift, BigQuery, or preferably Snowflake. Bring examples of complex queries you've written or data models you've built. Being able to articulate your thought process will impress the interviewers.
✨Understand Dimensional Modelling
Brush up on Kimball principles and be ready to explain how you’ve applied them in past projects. You might be asked to design a dimensional model on the spot, so practice this beforehand. Showing that you can think critically about data structure will set you apart.
✨Collaborate and Communicate
This role involves working closely with various teams, so be prepared to discuss your experience in agile environments and how you’ve collaborated with Data Engineers and business stakeholders. Highlight any successful projects where teamwork was key, as this will show you’re a good fit for their collaborative culture.
