Data Engineer

Edwards Vacuum is a company that provides solutions across various industries, focusing on sustainable innovations. They are seeking a Data Engineer to play a key role in their business transformation team, helping to build data foundations for predictive insights and machine learning solutions.

Responsibilities:

• Build and develop robust ETL pipelines, creating accessible and well-structured datasets in a Data Lake
• Ensure data pipelines are reliable, monitored, and automatically report issues
• Enable programmatic access to data for Data Scientists and analytics teams
• Optimise performance of business-critical pipelines, defining and tracking key metrics
• Collaborate with cross-functional teams to integrate subject matter expertise into data solutions
• Define requirements for data linkage and quality checks to enable automated pre-processing
• Support best practices through participation in design discussions and code reviews
• Communicate insights and findings clearly to a range of stakeholdersdescribe main responsibility

Requirements:

• Strong hands-on experience building and maintaining ETL/data pipelines
• Proficiency in data engineering tools and languages such as SQL and Python
• Experience working with cloud-based data platforms (ideally Microsoft Azure)
• Familiarity with big data technologies such as DataBricks
• Strong communication skills, with the ability to work effectively across technical and non-technical teams
• A proactive and curious mindset, with a drive to continuously improve data solutions