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Lead infrastructure-as-code implementation using Terraform for automation and reliability
Implement and manage CI/CD pipelines (GitHub Actions) for data infrastructure automation
Monitor and troubleshoot complex data pipelines and cloud infrastructure to ensure high availability and SLAs
Optimize query performance, storage costs, and compute resources in Snowflake and AWS
Design, develop, and maintain ETL/ELT pipelines using Python, SQL, and orchestration tools (Airflow, sqlmesh, dbt)
Collaborate with the Data Tech Lead, providing technical guidance to the team
Apply DevOps principles to the entire data platform lifecycle
Deep understanding of Snowflake engineering components and infrastructure
Highly proficient in Terraform — maintaining infrastructure through code
Experience with GitHub and CI/CD for data pipelines
Strong experience building complex GitHub Actions pipelines
Python and SQL proficiency
Experience maintaining Apache Airflow or Managed Airflow (MWAA)
Knowledge of AWS services (S3, Lambda, Glue)
Strong problem-solving skills and ability to work independently
Experience with dbt, sqlmesh, or similar transformation frameworks
Exposure to Data Mesh and distributed data ownership patterns
Knowledge of data observability and governance tools
Experience with cost optimization for cloud data architectures
Long-term, impactful work on a platform serving millions of users
Part of a 10-person embedded team — not a solo contractor
Work with modern data stack (Snowflake, AWS, Terraform, Airflow)
Remote-friendly with flexible hours
Backed by Eastvantage Group — global delivery, local culture
Engineering culture that values ownership, transparency, and craft
Data Platform Engineer
Build and optimize the data platform infrastructure powering AI products for a major UK consumer organisation. Terraform, Snowflake, AWS, GitHub Actions, Airflow.
Tech Stack
About the Role
We're hiring a Data Platform Engineer to join our team and work on a long-term client engagement with a major UK consumer advocacy organisation. You'll design, build, and optimize the data platform infrastructure that powers AI-driven products serving millions of users.
This is a platform engineering role — you'll own the infrastructure layer that data pipelines, ML models, and RAG systems run on. Think Terraform, CI/CD, Snowflake internals, and AWS at scale. You'll work alongside a Data Tech Lead and be part of our embedded 10-person engineering team.