3 of 3 Data Engineer Jobs in Knutsford

Senior Data Engineer (Python AWS SQL DBT) Cheshire to £90k Are you a data technologist looking for an opportunity to progress your career in a hands-on, impactful role with lots of ownership? You could be joining a Cybersecurity technology company and enjoying a huge range of perks and benefits from continual learning and self-development opportunities … including 'buy any book' policy) through to health and well-being, enhanced paternity packages, generous holiday allowance, inclusive social events and much more. As a Senior Data Engineer you'll lead a significant data re-architecture project, with the autonomy to make the critical data architecture decisions, laying the foundations that will empower the entire business … from product and analytics through to customer intelligence and commercial growth. You'll collaborate with the business and Data Analysts to expand on and re-engineer the data pipelines, building new scalable services within a modern cloud based (AWS) environment. There's a culture of software engineering excellence, with a collaborative team environment that values knowledge sharing More ❯

Senior Data Engineer (Python AWS SQL DBT) Cheshire to £90k Are you a data technologist looking for an opportunity to progress your career in a hands-on, impactful role with lots of ownership? You could be joining a Cybersecurity technology company and enjoying a huge range of perks and benefits from continual learning and self-development opportunities More ❯

AWS Date Engineer Location: Radbroke (Hybrid - 2 days/week in office) 6 Months + Umbrella Only - Inside IR35 About the Role We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skills Experience with RESTful APIs and integrating backend services All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in More ❯