Data Engineer; Exclusive

Position: Staff Data Engineer (Exclusive)
Staff Data Engineer Belfast (Hybrid/ Remote) | Full-time Staff-level ownership of large-scale, distributed data pipelines, not just execution Modern open-source stack:
Airflow/Dagster, Spark, dbt, Kafka, AWS Flexible Hybrid working out of Belfast Join a platform already moving billions of consumer interactions a year, still scaling About the Company This business has spent two decades quietly becoming essential infrastructure for global retail: a network that now connects thousands of brands and retailers with billions of consumers worldwide, built from a single office in 2005 into an operation spanning North America, Europe, Asia and Australia.

It has been independently recognised as a Great Place to Work across seven countries, a rare feat for a company operating at this scale.

The Role As a key member of the Insights team, you'll design, build and support the large-scale distributed data systems that power decision-making for some of the world's biggest retail brands. This is a genuinely senior, hands-on role: you'll shape architecture, set engineering standards, and have real influence over how data infrastructure scales as the business grows further.

Key Responsibilities Design and build large-scale, distributed data pipelines and storage systems Own reliability and scalability of core data infrastructure Optimise data storage and retrieval processes across the platform Collaborate with cross-functional teams to translate data requirements into solutions Champion software engineering best practice across the data function Troubleshoot and resolve issues across distributed systems Mentor and influence engineering standards across the team Essential: 7 years designing and building robust, scalable, distributed data systems and pipelines Strong experience with orchestration tools such as Apache Airflow or Dagster

Experience with dbt, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL/MySQL

Experience with public cloud (AWS, GCP or Azure) and Terraform Strong grasp of CI/CD, git, agile delivery and containerisation Desirable:
Knowledge of event-driven and streaming technologies (Kafka, Kafka Streams, Flink) Prior technical leadership or mentoring experience Why Apply? Hybrid working model based in Belfast Staff-level scope with genuine architectural influence Work on a platform processing data at genuinely global scale Backed by a company independently certified as a Great Place to Work in seven countries Modern, open-source-first engineering culture Next Steps Interested, or know someone who'd be a great fit?

Get in touch with Chanel at , or connect on Linked In for a confidential chat.

Skills:

Python azure GCP AWS DATA Airflow Kafka Benefits:
Work From Home