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Data Engineer role at Deutsche Bank in Pune using GCP, Java and Spark.
Full-time, offers flexible benefits, inclusive culture, and continuous learning.
Position Overview
Data Engineer, AS Job ID: Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2026-02-23 Location: Pune Position Overview Job Title: Data Engineer, AS Corporate Title: Associate Location: Pune, India
Role Description
Associate Data Engineer responsible for developing, optimizing and maintaining data engineering solutions on GCP. The candidate will work independently and collaboratively within cross-functional teams, contributing to medium and large-scale projects. The role requires hands-on expertise in cloud data engineering, Java and Spark, with additional experience in Python considered a plus. The candidate should demonstrate strong problem-solving skills and a solid track record in agile environments.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above
Your key responsibilities
This individual will be responsible for the following: Operate as a team member within a Scrum Agile/Kanban team Design, develop and peer-review new data engineering functionality using GCP and Java Build and optimize scalable data pipelines using Spark and cloud-native tools Collaborate with stakeholders to understand requirements and deliver robust solutions Ensure code quality through unit and system-level testing Support data sourcing, transformation, and analytics development Maintain documentation and contribute to process improvements
Essential Skills
4–9 years of hands-on experience in data engineering, with a focus on GCP. Proficient in Java programming; experience with Python is a plus Strong experience with Spark and cloud data engineering tools (e.g., DataFlow, CloudComposer, Cloud Storage, Cloud Functions, Dataproc) Solid understanding of databases (RDBMS, SQL) Familiarity with data security and data quality concepts (Consistency, Completeness, Accuracy, Lineage) Passionate about test-driven development and agile methodologies
Preferable Skills
Experience in financial services, regulatory environments, or cross-product domains Data visualization experience Hands-on business and systems knowledge in a compliance or regulatory delivery environment
Education / Qualifications
Req Degree in a numerate field (e.g., Computer Science/Information Technology, Engineering) Language Required Good knowledge of English
How we’ll support you
Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.
About us and our teams
Please visit our company website for further information: https://www.db.com/company/company.html We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.