Data Engineer

Bauer Media Group Heinrich Bauer Verlag KG; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading media company in the UK is seeking a Mid-Level Data Engineer to join their Data & Decision Sciences team. The successful candidate will build and maintain data pipelines that support critical business initiatives. Key responsibilities include developing ETL processes, collaborating with stakeholders, and conducting data quality checks. Ideal candidates will have strong skills in Python and SQL, along with experience managing data workflows in cloud environments. This hybrid role is an excellent opportunity for those looking to influence data-driven decisions across Europe.

Benefits

28 days holiday

Access to internal training

Enhanced Parental Leave Pay

Flexible working options

Qualifications

• 2+ years in data/analytics engineering roles.
• Experience with workflow orchestration using Airflow.
• Proven track record delivering end-to-end data pipelines in a cloud environment.

Responsibilities

• Build and maintain data pipelines from source systems to S3.
• Deliver new ingestion and transformation pipelines for Snowflake.
• Participate in Scrum ceremonies and manage work through Jira.

Skills

Python

SQL

Airflow

ETL/ELT processes

dbt

AWS

Data quality checks

Tools

GitHub

Snowflake

Redshift

BigQuery

Terraform

GCP

Azure

Job description

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You’ll be joining Bauer Media Audio’s Data & Decision Sciences (DDS) team—a collaborative, cross‑functional unit at the heart of our business. Our mission is to leverage data as a strategic enabler across nine European markets, delivering trusted insights and robust data solutions that drive growth, enhance audience engagement, and improve operational efficiency. We work closely with stakeholders across all domains, combining centralized capabilities with localized expertise to ensure data delivers real business value.

The Difference you will make

As a Mid‑Level Data Engineer, you’ll play a key role in building and maintaining data pipelines that power Bauer’s audio business across multiple markets. You’ll work within our Joint Capability Team (JCT) to implement the CUBE architecture, develop ETL/ELT processes, and support critical business initiatives. Your work will enable meaningful dashboards, analytics, and data‑driven decisions that impact millions of listeners.

Your role

You will design, build, and maintain reliable data pipelines and collaborate with analytics engineers and business stakeholders to deliver impactful solutions.

Responsibilities include but not limited to:

• Build and maintain data pipelines moving data from source systems into S3 and curated layers using Python and Airflow.
• Deliver new ingestion and transformation pipelines for Snowflake while supporting Redshift and BigQuery workloads.
• Develop and maintain dbt models and tests to support BI and analytics use cases.
• Implement and enhance data quality checks and monitoring in Airflow.
• Collaborate with senior engineers on ingestion patterns and migration approaches.
• Participate in Scrum ceremonies, manage work through Jira, and maintain documentation in Confluence.
• Use GitHub for branching, pull requests, and code reviews.
• Engage with business stakeholders to ensure pipelines enable meaningful analytics.
• Support and mentor junior engineers, sharing best practices.

The Skills you will bring

Technical must‑haves:

• Strong Python and SQL skills.
• Experience with Airflow for workflow orchestration.
• Proven track record delivering end‑to‑end data pipelines in a cloud environment.
• Hands‑on experience with dbt and AWS.
• Familiarity with Git‑based workflows and CI/CD practices.
• Experience implementing data quality checks and monitoring.
• 2+ years in data/analytics engineering roles.

Nice‑to‑haves:

• Experience with Snowflake, Great Expectations, or dbt‑expectations.
• Exposure to GCP or Azure.
• Familiarity with Terraform and semantic layers.

Behavioural:

• Clear communicator who engages with technical and business stakeholders.
• Ownership mindset—focused on outcomes, not just tasks.
• Collaborative team player with a documentation‑first approach.
• Adaptable and curious, eager to learn new tools and approaches.

Working Pattern/Location

Hybrid role based in London.

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 [e-mail]

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 [e-mail] we would love to hear from you.

Date Job Posting Last Updated: 23 Dec 2025