Data Engineering
Posted 6 Aug 2026
Advertised as “Senior Data Engineering - GCP Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8–12 yrs
- Management level
- Individual contributor
No salary listed for this role.
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description:
Design Lead with Cloud (GCP) (Experience - 8 to 12 Years) • Strong data background (data storage, transformation, event processing, APIs, IAM, security) • Google Cloud Platform skills (as this is where the solutions are being developed/deployed) • Must have good Experience/knowledge on GCP components like GCS, BigQuery, AirFlow, Cloud SQL, PubSub/Kafka, DataFlow and Google Cloud SDK • Any GCP related certification is an added advantage • Beneficial to have knowledge/experience of analytics solutions (ML/AI & BI) - note though that this is not a Data Scientist role. • Experience of working within a large, complex and geographically dispersed programme • Ability to articulate and present solutions at the right level for a wide audience.