Senior Data Engineer

Job Title:

Senior Data Engineer

Overview:

Overview:
Mastercard's Test & Learn team is seeking a Senior Data Engineer to contribute to the data management aspects of client engagements, delivering Test & Learn and other innovative solutions within the Services group. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Additionally, you will help foster a high-performance, collaborative workplace culture. This hybrid position is based in Prague, Czech Republic, requiring three days per week onsite.
The Test & Learn team within Mastercard's Services organization aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients.
Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. There are no rigid organizational structures, and each team uses processes that work best for team members and projects.

Role:

- Independently lead projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base.
- Act as an expert technical resource within the team and region
- Deliver on-time, accurate, high-value, and robust data solutions across multiple clients, solutions, and industry sectors.
- Build trust-based working relationships with peers and clients across local and global teams.
- Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group.
- Leverage industry best practices including proper use of source control, participation in code reviews, data validation, and testing.
- Play a lead role and oversee the activities of Data Engineers and ensure the efficient execution of their work.
- Act as a mentor and help in managing careers for junior team members.
- Comply and uphold all Mastercard internal policies and external regulations.

All About You:
- 4-8 years of Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
- Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
- Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
- Expertise with RDMS technologies and Microsoft SQL Server.
- Proven self-motivated leader with experience working in teams
- Demonstrated skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation, and quality control to own work product.
- Demonstrated skills in managing projects, people, and tasks across multiple geographies and business units.
- Able to easily move between business, data management, and technical teams. Able to quickly intuit the business use case and identify technical solutions.
- Able to balance multiple projects and differing project priorities.
- Flexible to work with global offices across several time zones.To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.

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