Posted on: 29/08/2025
Why We Work at Dun & Bradstreet :
Our 6,000+ global team members are passionate about what we do.
We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity.
Senior Data Engineer role involves the development of new applications for major projects to drive significant revenue and cost savings for Dun and Bradstreet.
Senior data engineers are expected to delve into new, cutting-edge technologies to explore new markets and opportunities.
Senior data engineers are expected to react quickly to high-tech marketplace needs, rapidly developing and deploying new products in an agile work environment to best meet and exceed the expectations of our clients and potential prospects.
Key Responsibilities :
- Help design and implement functional requirements.
- Take ownership of existing applications for further development/improvements.
- Identify areas of improvements in applications/process and research potential solutions.
- Collaborate with Product Owners and the engineering team to develop and deliver advanced
software solutions to ensure business continuity.
- Coordinate the delivery of assigned activities with other departments whilst providing highly
responsive and comprehensive technical support as needed to the other teams & leadership.
- Lead the offshore engineering team, providing technical guidance and fostering innovation.
- Mentor junior engineers - introduce and train them in best practices and work with them to
make their development output more effective and performant.
- Work as part of the team to code review and test other members code changes.
- Create and run unit tests for the projects you work on.
- Perform analysis on large datasets to make and implement recommendations for maximizing
customer experience.
- Work as a member of one or more agile teams, using lean principles and SCRUM
methodology.
Key Requirements :
- Bachelors degree (preferable in computer science, mathematics, data science, or a related field).
- Experience with SQL for data analysis and querying (7-10 years).
- Experience with Bash (2-5 years).
- Proficiency in version control systems, particularly Git.
- Ability to work independently to deliver critical projects on time.
- Ability to work closely with others to problem solve.
- Experience with hosted environments, AWS, Azure, or other cloud service providers preferred.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1537697
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