Data Engineer

Data Ops Engineer 📍 Norwich (Hybrid – 2/3 days onsite) |💰 £475/day (Inside IR35) |📅 6-Month Contract Our client, a top global organization, is seeking an experienced Data Ops Engineer to design, optimise, and support scalable data pipelines and platforms within a dynamic enterprise environment. This role sits at the intersection of data engineering, DevOps, and operations, ensuring high-quality, reliable data is delivered for analytics, reporting, and business applications. As a Data Ops Engineer, you will be responsible for building and maintaining robust data pipelines, ensuring platform reliability, and implementing automation across the data lifecycle. Key Responsibilities • Design, build, and maintain scalable ETL/ELT data pipelines (batch & real-time) • Optimise pipelines for performance, reliability, and cost efficiency • Ensure pipelines meet SLAs, data quality, and security standards • Monitor and manage data platforms using DataOps/DevOps practices • Ensure high availability and reliability of data services • Troubleshoot issues and perform root cause analysis (RCA) • Implement CI/CD pipelines for data workflows • Automate testing, deployment, and monitoring of data services • Implement data validation, profiling, and quality checks • Support data governance, metadata management, and lineage tracking • Work closely with data engineers, BI teams, and analysts • Translate business requirements into scalable data solutions Essential Skills & Experience • Strong experience with ETL/ELT tools (e.g., Airflow, DBT, Informatica, Talend, ADF) • Strong SQL skills with experience in data modelling and performance tuning • Hands-on experience with cloud platforms (Azure, AWS, or GCP) • Experience with DataOps / DevOps tools (Git, Jenkins, CI/CD pipelines) • Familiarity with streaming/messaging technologies (Kafka, Event Hub, Kinesis) • Experience with monitoring tools (Grafana, Prometheus, CloudWatch) • Strong troubleshooting and problem-solving skills • Ability to work in agile, cross-functional teams Desirable Skills • Experience with Docker and Kubernetes • Exposure to real-time data processing and streaming architectures • Knowledge of data governance frameworks and tooling If this is relevant to your experience, please apply with your CV and we’ll be in touch. Thank you!