Senior Data Engineer

About Bauer Media Audio Data & Decision Sciences Team The Data and Decision Sciences 

(DDS) team is at the core of Bauer Media Audio with a mission to leverage data as a strategic enabler across our nine European markets. Our goal is to provide trusted, actionable insights and robust data solutions that empower business growth, enhance audience engagement, and drive operational efficiency. The DDS team operates as a collaborative, cross-functional unit that bridges the gap between data and business strategy, delivering solutions that align with our organizational goals and market needs. We are structured to support our stakeholders with a combination of centralized capabilities and localized expertise, ensuring that data drives value across the entire organization. We see data not as a support function but as an integral business partner that collaborates across all domains and markets expertise to deliver impactful business outcomes.

As a Senior Data Engineer, you will be a critical player in the evolution of Bauer Media Audio's data architecture. You will support the Head of Data Engineering and Architecture in building and scaling our data capabilities across the UK and internationally, with particular focus on the implementation of our CUBE architecture. This role requires a blend of technical expertise, leadership, and strategic vision to transform business needs into tangible data products and services.

Core Responsibilities

CUBE Architecture Implementation:

Lead the design and implementation of data pipeline migrations from legacy systems to CUBE o Design and optimize ETL/ELT workflows using Airflow and cloud-native services

Develop and maintain data infrastructure using Terraform and related IaC tools

Contribute to the implementation of Kubernetes for containerized workloads o Automate and productionise dbt models within CI/CD and Airflow.

Layered Data Architecture: Implement a sophisticated data platform with distinct Raw, ETL Processing, Curated, Modeling, and Consumption layers

Technical Leadership: 

• Foster collaboration and skill sharing with the wider DDS team, enabling uptake of tools and workflows.
• Provide technical guidance for complex data integration projects o Design and implement best practices for data engineering processes
• Collaborate on architectural decisions to ensure scalability and performance

Data Engineering Excellence:

• Utilize expert SQL skills (Postgres, Cloud SQL) for data manipulation and analysis
• Develop robust Python code for building, maintaining, and orchestrating data pipelines
• Create Airflow Operators to promote component reusability across the data pipelines.
• Implement and optimize cloud database solutions (BigQuery, Redshift)
• Ensure data quality through implementation of testing frameworks and monitoring tools
• Ensure the technical solutions has proper monitoring and alerting

Project Delivery:

• Lead technical implementation for key initiatives including Consumer Competitions expansion
• Support Braze implementation and AINS/ROMA migration efforts
• Work with cross-functional teams to deliver data solutions across multiple markets
• Design and implement monitoring and alerting for data pipelines and infrastructure

2025 Strategic Focus Areas

• Transition from legacy data architecture (Caspian) to CUBE architecture.
• Build the data foundation for unified analysis of digital audio performance across all markets
• Implementation of data quality frameworks using tools like Datahub and Great Expectations
• Expansion of data capabilities to international markets
• Design and development of scalable, cloud-native data solutions

Revenue Management Analytics:

• Develop frameworks for advanced advertising and inventory analysis
• Digital Consumption Analytics: Build the data foundation for unified analysis of digital audio performance across all markets

Qualifications

Core Technical Skills:

• Expert in SQL (Postgres, Cloud SQL) with proven ability to optimize complex queries
• Strong Python development experience for data pipeline creation and automation
• Experience with cloud data warehouses (BigQuery, Redshift)
• Proficiency with workflow orchestration tools, particularly Airflow
• Experience with Terraform or similar IaC tools for infrastructure management

Required Experience:

• 8+ years of experience in data engineering or related roles
• Proven track record implementing and optimizing ETL/ELT pipelines
• Experience with multi-cloud environments (AWS, GCP)
• Demonstrated ability to lead technical aspects of complex data projects

Nice to Have:

• Experience with Kubernetes for containerized applications
• Familiarity with BI Platforms like Looker or Power BI
• Knowledge of web analytics technologies and ad tech platforms
• Experience in the media or audio industry
• Background in data modeling and warehouse design

Personal and Behavioral Traits

• Curious: Always eager to explore new ideas and technologies
• Solution-Oriented: Focused on finding effective solutions to complex problems
• Detailed: Attentive to detail, ensuring accuracy and precision in all tasks
• Organized: Capable of managing multiple projects and deadlines efficiently
• Collaborative: Works well with cross-functional teams to achieve common goals
• Problem Solver: Flexible attitude to managing projects and engaging with senior stakeholders

Purpose and Impact

This role is pivotal in transforming Bauer Audio's data architecture through the implementation of the CUBE platform. Over the first six months, you will focus on critical migrations from legacy systems, international expansion of our competitions business, and strengthening our data pipeline infrastructure. Your contributions will accelerate our digital transformation journey and enable data-driven decision-making across the organization.

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 25 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

Please Note: We are actively seeking this position. You should hear from us within 48 hours of the expiry date. Please note on some occasions the role may be closed before date shown or need to be extended.

If you have any feedback regarding our UK recruitment process, please email careershub@bauermedia.co.uk we would love to hear from you.