Manager, Data Engineering - Financial Crime Solutions (Crypto)

This is a great opportunity to join the team behind Crypto Secure, a powerful risk assessment tool helping banks gain greater visibility of crypto spend, transaction volumes, and AML risk exposure.

As a Data Engineering Manager, you will drive the technical direction of our data platform, leading a small team of engineers while also being hands-on in developing data pipelines and infrastructure. You'll ensure the integrity, scalability, quality and performance of our data systems, all while mentoring your team and shaping best practices.

Role
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Lead Technical Execution & Delivery
- Design, build, and optimise data pipelines and data infrastructure using Snowflake, Hadoop, Apache NiFi, Spark, Python, and other technologies.
- Break down business requirements into technical solutions and delivery plans.
- Lead technical decisions, ensuring alignment with data architecture and performance best practices.
- Optimise processes for better data delivery, scalability, and reliability.
- Address and resolve technical roadblocks to maintain smooth execution.

Mentor & Guide the Team
- Lead and mentor a team of data engineers, fostering a culture of growth, collaboration, and innovation.
- Conduct code reviews, ensuring high standards of data quality and maintainability.
- Encourage continuous learning and improvement within the team.

Collaborate Across Teams
- Work with Product Managers, Data Scientists, and Software Engineers to align priorities and ensure clear, actionable data requirements.
- Lead technical discussions and contribute to stakeholder presentations.
- Resolve data-related issues in collaboration with cross-functional teams.

Champion Data Engineering Excellence
- Promote best practices in data engineering, including data security, performance, and scalability.
- Advocate for clean, maintainable, and scalable data pipelines.
- Drive CI/CD and automation best practices for data pipeline efficiency.

All About You
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Technical & Engineering Skills
- Extensive demonstrable experience in data engineering, with expertise in building scalable data pipelines and infrastructure.
- Deep understanding of Snowflake, Hadoop, Apache NiFi, Spark, Python, and other data technologies.
- Strong experience with ETL/ELT processes and data transformation.
- Proficiency in SQL, NoSQL, and data modeling.
- Familiarity with cloud data platforms (AWS, GCP, Azure).

Leadership & Collaboration
- Proven experience leading and mentoring a team of data engineers.
- Strong communication skills-able to explain technical concepts to non-technical stakeholders.
- Experience working in Agile environments and collaborating with cross-functional teams.
- Ability to manage expectations and align teams with shared data goals.

Mindset & Approach
- Ownership mentality-take pride in delivering high-quality, reliable data solutions.
- Results-driven-focused on delivering efficient, scalable systems that meet business needs.
- Continuous improvement-always looking for ways to optimize data systems and processes.

Why You'll Love This Role
- Lead a talented team and influence the technical direction of a critical data platform.
- Work on high-impact problems at the intersection of crypto risk, finance, and cutting-edge data technologies.
- Have a direct impact on the product's success through both hands-on engineering and strategic leadership.
- Be part of a company where your ideas matter, and your work makes a difference.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.