Senior Data Engineer building scalable data platforms and pipelines for Confluence’s investment data business. Collaborating on architecture while mentoring engineers and solving complex data challenges.
Responsibilities
Design and deliver scalable data solutions that power organizational decision-making
Take ownership of key components of the data platform
Build reliable, high-quality data pipelines using modern tools and technologies
Collaborate with teams across the business
Contribute to architectural decisions
Support the growth of other engineers through mentorship and knowledge sharing
Solve complex data challenges through clean, maintainable code
Influence architecture and engineering standards
Take ownership of projects
Requirements
Solid Python experience in a data engineering environment
Advanced SQL skills and hands-on experience with Snowflake
Experience designing and running production-grade ETL pipelines at scale
Exposure to cloud platforms such as AWS, Azure, or GCP
Ability to take ownership of work end-to-end, from design through to deployment and monitoring
Experience working with financial or regulated data environments (nice to have)
Familiarity with orchestration tools such as Airflow or AWS Step Functions (nice to have)
Exposure to streaming or near real-time data pipelines (nice to have)
Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices
Must successfully complete pre-employment screening, including identity and right-to-work checks in the UK where applicable
Benefits
Generous Time Off packages including additional half days with each public holiday in your location
Global Career Development opportunities
Social Events
Referral Bonus scheme - Upto $3,000 per successful referral
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