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Senior Data Engineer
ConfluenceSenior Data Engineer designing scalable data solutions that power decision-making in a global investment data firm. Collaborating cross-functionally and mentoring junior engineers in data platform architecture.
Tech Stack
Tools & technologiesAirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Design and deliver scalable data solutions that power decision-making across the organization.
- Take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
- Collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing.
- Solve complex data challenges through clean, maintainable code.
Requirements
What you’ll need- 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
- Familiarity with orchestration tools such as Airflow or AWS Step Functions
- Exposure to streaming or near real-time data pipelines
Benefits
Comp & perks- 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
- Plus many more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSnowflakeETLAWSAzureGCPAirflowAWS Step Functionsstreaming data pipelines
Soft Skills
ownershipcollaborationmentorshipknowledge sharingproblem-solvingcommunication