Senior Data Engineer in Manchester

We’re looking for an experienced Data Engineer to join Apadmi and help our clients unlock value from their data through scalable, insight driven platforms. You’ll work with multi-disciplinary teams to design and deliver data solutions that power insight, marketing activation and product experiences across mobile and web. This is a role for someone technically strong, commercially aware and ready to step in as an ambassador for Apadmi, helping shape and grow our Data Engineering capability.

As a Data Engineer, you’ll:

• Design and deliver scalable data pipelines and architectures that transform raw data into actionable insight and activation across client ecosystems.
• Collaborate with Product, Marketing, Engineering and Data teams to ensure data is accurate, accessible and driving measurable outcomes.
• Help shape Apadmi’s growing data engineering capability in a fast-paced, innovative environment.

What you’ll be working on:

• Design and build end-to-end data solutions across multiple clients and industries.
• Develop robust pipelines that power insight, reporting and real-time activation, enabling everything from dashboards to personalised customer experiences.
• Play a key role in defining best practices, supporting new business opportunities and laying the foundations for Apadmi’s Data Engineering function.
• Design, build and maintain scalable data pipelines across AWS, Azure and GCP.
• Develop and optimise data models to support BI tools such as Power BI, Tableau and Looker.
• Enable marketing and audience activation through CDPs and direct integrations with paid media platforms.
• Integrate data pipelines with web and app ecosystems, including analytics platforms and event tracking frameworks.
• Support real-time and batch data processing for insight and activation use cases.
• Ensure data quality, governance and compliance, including GDPR considerations.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Contribute to defining data architecture standards and best practices across the organisation.
• Support new business opportunities with data engineering expertise and solution design.
• Participate in agile delivery processes, ideally within SCRUM frameworks.

What you’ll bring to the team:

• You’ll be technically strong, solution-oriented and comfortable working across the full data lifecycle, from ingestion and transformation through to insight and activation.
• You’ll have experience working in fast-paced environments, ideally within an agency or consultancy, and be confident communicating complex technical concepts to a range of stakeholders.
• You’re proactive, adaptable and excited by the opportunity to help build and shape a growing capability.
• Strong experience across cloud platforms, including AWS, Azure and GCP.
• GCP Professional Certification (e.g. Professional Data Engineer or Cloud Architect).
• Proven experience building and maintaining production grade data pipelines using tools such as DBT, Airflow or Databricks.
• Proficient in orchestrating cloud environments using Infrastructure as Code (IaC) tools like Terraform.
• Strong SQL and experience with Python or similar programming languages.
• Experience working with BI tools such as Power BI, Tableau or Looker.
• Understanding of marketing and data activation ecosystems, including CDPs, CXPs, paid media integrations, etc.
• Experience integrating data across web and app environments.
• Knowledge of data governance, security and compliance best practices.
• Strong stakeholder management and communication skills.
• Agile experience, ideally SCRUM.
• Proactive, flexible and adaptable approach to work.
• Commitment to delivering high quality, scalable solutions for both users and clients.
• Predominantly office based, with ability to collaborate in person and virtually.