Technical Lead, Data Engineering - Financial Crime Solutions (Crypto)

MasterCard; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

MasterCard is in search of a Technical Lead for its Data Engineering team specializing in Financial Crime Solutions. This role involves leading a team, designing scalable data systems, and driving innovation in data management for crypto risk assessment tools. Candidates should have extensive experience in data engineering, strong leadership skills, and a passion for tackling complex data challenges.

Qualifications

• Extensive experience in building scalable data pipelines.
• Deep understanding of Snowflake, Hadoop, Apache NiFi, Spark, Python.
• Proven leadership experience in data engineering.

Responsibilities

• Design and optimize data pipelines and infrastructure.
• Lead and mentor a team of data engineers.
• Collaborate across teams to align data requirements.

Skills

Data Engineering

Data Pipeline Development

Team Leadership

Cloud Data Platforms

ETL/ELT Processes

SQL

Python

Agile Methodology

Education

Degree in Computer Science or related field

Tools

Snowflake

Hadoop

Apache NiFi

Spark

Job description

Job Title:

Technical Lead, Data Engineering - Financial Crime Solutions (Crypto)

Overview:

Overview
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Are you passionate about Data Engineering and eager to lead a team in a fast-paced, data-driven environment? Do you thrive on solving complex data problems and delivering impactful solutions?

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 Technical Lead for our Data Engineering team, you will drive the direction of our data platform, leading a small team of engineers in a hands-on capacity, 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.
- Select, interview and hire new team members as needs arise, ensuring we bring on board people who are both technically strong and aligned with our culture.

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.