Data Engineer - Data & Insights

Salary dependent on experience

An exciting opportunity to join the UK's leading entertainment marketing and advertising agency as a Data Engineer.

AKA is a leading entertainment media agency working with top-tier studios, streaming platforms, and content creators to connect stories with audiences in emotionally resonant and culturally relevant ways. We harness data, creativity, and behavioural insights to shape the future of entertainment.

We are seeking a Data Engineer to join our Data & Insights Team, initially leading the engineering build of Atlas, AKA's composable customer data platform (CDP). Reporting to the Analytics Engineering Manager and working closely with our Data Scientist, Project Manager & Development Teams you'll own the pipelines, infrastructure and data architecture that turn raw customer signals into a real-time, production-grade platform — from event streaming and identity resolution through to activation and reporting.

This is a hands‑on build role for someone who wants to own the engineering of a platform from foundations through to go‑live, and who is comfortable using modern AI‑assisted development tools to move fast without cutting corners.

• Lead engineering delivery of Atlas: event streaming infrastructure, schema and taxonomy standards, and the Snowflake data warehouse and dbt transformation pipelines that sit at its core

• Design and build production identity resolution pipelines, working closely with the Data Scientist to translate matching logic and statistical models into robust, scalable production code

• Own ETL/ELT and reverse-ETL orchestration, ensuring reliable, well‑governed data flow from source systems into the warehouse as sync frequency and volume increase

• Build and maintain the CI/CD pipelines and engineering practices (with the freelance Lead Developer) that support Atlas's modelling, forecasting and MMM automation

• Support productionisation of propensity, forecasting and MMM outputs (e.g. XGBoost, Auto Gluon/Chronos, Meridian) built by the Data Scientist, ensuring they run reliably at scale

• Implement data governance, monitoring, alerting and incident runbooks appropriate to a real‑time platform underpinning live client reporting

• Use AI‑assisted development tools (e.g. Claude, Claude Code) as part of day‑to‑day engineering practice to accelerate build, testing and documentation

• Work with Account Management and client teams to translate engineering constraints and trade‑offs into clear, non‑technical guidance

• Contribute to phase‑gated delivery milestones and support wider Data & Insights infrastructure beyond Atlas as priorities evolve

• Work within the Data Engineering team's standards and practices set by the Analytics Engineering Manager, contributing to shared documentation, code quality and orchestration standards across client data pipelines beyond Atlas

• Minimum Qualifications
  Degree in Computer Science or a related technical discipline, or equivalent professional experience

• 3+ years' experience as a Data Engineer, with strong, demonstrable proficiency in Python for building and maintaining data pipelines

• Experience with dbt or equivalent transformation frameworks, and with ETL/ELT tools such as Fivetran or Airbyte

• Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows

• Strong engineering fundamentals: version control, testing, monitoring and documentation

• Comfortable working directly with AI coding assistants (e.g. Claude, Claude Code, Git Hub Copilot) as part of the standard development workflow

• Experience building or supporting identity resolution / customer data platform (CDP) infrastructure, including deterministic or probabilistic matching…