Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
A leading financial institution is seeking a Senior Data Engineer to join their Data and AI Practice. You will design and maintain scalable data pipelines, ensuring efficient data flow for advanced analytics. This role requires strong experience with Python and SQL, along with familiarity with cloud platforms like Azure. Join us for a multi-year project with flexible start dates and competitive rates in a collaborative environment.
Social network you want to login/join with:
col-narrow-left
Other
-
Yes
col-narrow-right
2
06.06.2025
21.07.2025
col-wide
Synechron is looking for a Senior Data Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution.
Role Overview:
We are seeking a talented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. Your work will ensure reliable, efficient, and secure data flow across systems, enabling advanced analytics, reporting, and business insights.
Key Responsibilities:
Qualifications & Skills:
Multi-Year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office)
Synechron's Diversity Statement
Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.