DevOps Engineer

About the job We are working with a company that specialises in providing cutting-edge IT consulting and digital transformation services, helping clients modernise their enterprise data platforms. The Role Design, build, and maintain scalable ETL/ELT pipelines across multi-source enterprise data environments Architect and implement CI/CD frameworks for data platform deployments Build and maintain governed data lake architectures aligned to Medallion standards Develop Python/Bash automation libraries for data ingestion, transformation, and regression workflows Implement telemetry and ETL pipelines for KPI tracking, operational dashboards, and reporting Support cloud modernization efforts on AWS (primary) and Azure What You'll Need 8+ years of data engineering experience with strong DevOps/MLOps fluency Hands-on expertise with AWS (S3, Glue, Lambda, Redshift, EMR or equivalent) Proficiency in Python, SQL, and Bash scripting Experience with CI/CD tooling: Jenkins, GitLab CI, Azure DevOps, Docker Solid background in enterprise data modeling 3NF, Dimensional, Data Vault Familiarity with modern data platforms: Snowflake, Databricks, or Azure Data Explorer What's On Offer Opportunity to work on modernizing enterprise data platforms Exposure to cutting-edge AI and agentic data strategies Collaborate with cross-functional IT, analytics, and supply chain teams Apply via Haystack today!