Senior Data Engineer
iO Associates - UK/EU · London, United Kingdom ·
- Work mode
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Category
- Data engineering
- Salary
- GBP 100,000 / year
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Build and optimize Snowflake-based data pipelines in Python to migrate and integrate financial lending data, ensuring quality and scalability for reporting and analytics.
This range is provided by iO Associates - UK/EU. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Direct message the job poster from iO Associates - UK/EU
Salary: Up to £100,000 D.O.E
Location: London (Hybrid 3 Days on site)
Are you a data engineer ready to make a real impact in a company that values innovation, autonomy, and excellence?
iO Associates is recruiting for a high-growth, forward-thinking investment firm that sits at the intersection of finance and technology - and they're looking for a Data Engineering Specialist to join their collaborative data team.
This is a unique chance to step into a role that offers both technical ownership and strategic influence, within a business that's genuinely committed to doing things differently. Our client is known for backing purpose-driven investments and building tech-enabled solutions that scale with the future of finance.
Title: Senior Data Engineer
Salary: Up to £100,000 D.O.E
Location: London (Hybrid 3 Days on site)
Are you a data engineer ready to make a real impact in a company that values innovation, autonomy, and excellence?
iO Associates is recruiting for a high-growth, forward-thinking investment firm that sits at the intersection of finance and technology - and they're looking for a Data Engineering Specialist to join their collaborative data team.
This is a unique chance to step into a role that offers both technical ownership and strategic influence, within a business that's genuinely committed to doing things differently. Our client is known for backing purpose-driven investments and building tech-enabled solutions that scale with the future of finance.
As a Data Engineering Specialist, you'll play a vital role in transforming how the business uses data. You'll lead critical migration projects, work with modern tooling like Snowflake, and help architect scalable, future-proof data solutions.
You'll also collaborate with business stakeholders, mentor colleagues, and drive improvements in data quality across the board - all while building slick, automated data pipelines in Python.
Lead data migration and integration tasks, ensuring quality and alignment across systems.
Design, implement, and optimise ETL processes to streamline data movement from diverse sources.
Build and enhance a robust Snowflake data warehouse to support evolving reporting needs.
Troubleshoot and resolve data quality issues, supporting business users with self-service access.
Develop Python-based automation tools and scalable pipelines.
Conduct data validation, cleansing, and rigorous testing to maintain data integrity.
Mentor junior engineers and champion best practices in data management and engineering.
Investigate and resolve challenges specific to the financial lending data environment.
Proven experience across the full data lifecycle - from ingestion and transformation to validation and analysis.
Strong Python skills and confidence building automation for large-scale data tasks.
Hands-on Snowflake experience.
Deep understanding of ETL/ELT pipelines and data governance standards.
A solid grasp of financial data or lending domain knowledge is highly desirable.
A passion for mentoring and upskilling teammates in a supportive, collaborative environment.
Comfort working across teams, communicating complex ideas to both technical and non-technical audiences.
What you get:
Our client has a 2 stage interview process and for the right candidate, they will interview early next week!
If you're interested in this role, or know someone who would be, then please get in touch to a.methula@ ioassociates.co. uk
Referrals increase your chances of interviewing at iO Associates - UK/EU by 2x
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