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Job Post Details
Analytics Engineer - job post
3.53.5 out of 5 stars
London NW1 2PL•Hybrid work
Permanent
You must create an Indeed account before continuing to the company website to apply
Job details
Job type
- Permanent
Location
London NW1 2PL•Hybrid work
Full job description
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! Find the full details of our benefits here
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.
Date Job Posting Last Updated: 25 Jun 2026
Location:
London, GB, NW1 2PL
#job-location.job-location-inline { display: inline; }
Req ID: 3719
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! Find the full details of our benefits here
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.
Date Job Posting Last Updated: 25 Jun 2026
Location:
London, GB, NW1 2PL
#job-location.job-location-inline { display: inline; }
Req ID: 3719
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