Senior ML Data Engineer working on data pipeline curation for Mobileye's autonomous vehicle dataset. Collaborating across teams to enhance ML engineering and vision model applications.
About the role
- Data Engineer developing tools for maintaining data integrity in cargo tracking at Kpler. Collaborating with analysts and engineers to enhance data quality management.
Responsibilities
- Build tools and analytical capabilities for data integrity in cargo tracking data
- Create scripts, CLI utilities, and web-based UIs that empower analysts to perform data quality interventions
- Query and analyse substantial datasets to surface insights and identify data quality issues
- Work alongside software engineers to improve the overall quality of tracking systems
- Understand day-to-day challenges analysts face and translate those into technical solutions
- Create clear documentation for tools and processes to ensure knowledge sharing
- Develop automated checks and monitoring systems that flag data anomalies
- Rapidly test new approaches to data quality challenges
Requirements
- Experience extracting, transforming and analysing data from databases and APIs
- Comfortability working with large, unstructured datasets too complex for standard spreadsheet tools
- Experience tackling problems that have required learning new tools or technical approaches
- Background working as part of a multidisciplinary team, particularly with mixed technical/non-technical colleagues
- Proficiency in Python (or demonstrable ability to become proficient quickly)
- Experience building CLI tools, or scripts that automate processes and improve team efficiency
- Familiarity with Git-based workflows and code reviews
- A mindset that prioritises delivering practical, workable solutions over chasing perfect ones that never ship
- The inclination to take ownership of problems, using initiative to tackle issues, without waiting to be asked
Benefits
- Fair, inclusive and diverse work-environment
- Supportive colleagues and clients with a friendly approach
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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