Data Engineer

Data Engineer – Build the Future with Data & AI

Join a high-performing team building cutting-edge data, machine learning and AI solutions on a modern cloud platform. You'll design scalable data pipelines, develop innovative data products, and work with the latest technologies in a collaborative, agile environment.

Main Responsibilities as Data Engineer:

• Build and support data products within our modern data platform
• Design and deliver solutions with engineers, scientists and product teams
• Develop and optimise data pipelines across the analytics platform
• Integrate data from varied sources with strong quality standards
• Maintain orchestration, monitoring and performance of data components
• Improve engineering processes across the wider data community
• Promote high coding and data practice standards
• Experiment with emerging data, ML and AI technologies

What you'll need:

• Strong Python, PySpark, SQL and Databricks or Snowflake experience
• AWS cloud data engineering expertise
• Experience building scalable batch and real-time data pipelines
• Airflow, CI/CD, Git and modern engineering practices
• Knowledge of Terraform or similar IaC tools
• Experience with Docker and Kubernetes is beneficial
• Exposure to production Generative AI is an advantage
• A passion for data, AI and solving complex technical challenges

This is an excellent opportunity to work with a modern tech stack, develop your skills, and make a real impact on exciting AI-driven projects.

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

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