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Senior Data Engineer
About the Role
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 multidisciplinary 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
In this role, you’ll design and build end-to-end data solutions across multiple clients and industries. You’ll develop robust pipelines that power insight, reporting, and real-time activation, enabling everything from dashboards to personalized customer experiences. You’ll also play a key role in defining best practices, supporting new business opportunities, and laying the foundations for Apadmi’s Data Engineering function.
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- Design, build, and maintain scalable data pipelines across AWS, Azure, and GCP
- Develop and optimize 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 organization
- 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.
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- 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 the ability to collaborate in person and virtually
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