Lead Data Engineer Job Listing at Mastercard in Dublin (Job ID R-261556)

Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Data Engineer Overview
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Are you a passionate Technical Leader with expert knowledge in modern Data Engineering technologies and a desire to drive innovation in high-impact financial technology? Do you thrive on architecting scalable data solutions and leading technical excellence in dynamic, cross-functional environments?

This is a unique opportunity to be the technical point of contact for Crypto Secure, a cutting-edge risk assessment platform helping banks gain comprehensive visibility into crypto spend, transaction volumes, and AML risk exposure. Working with modern technologies including Snowflake, Hadoop, Spark, and NiFi, you'll be at the forefront of fintech innovation.

As Lead Data Engineer, you will provide hands-on technical leadership and drive technical excellence across our data platform. You'll architect solutions that process massive datasets, mentor engineers, and play a pivotal role in translating complex business requirements into robust, scalable data solutions that directly impact our product's success.

Role
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Technical Leadership & Architecture
- Serve as the primary technical point of contact for our high-revenue data engineering product, making key architectural decisions and driving technical strategy.
- Design and architect scalable data pipelines and systems using Snowflake, Hadoop, Spark, and NiFi to handle massive financial datasets.
- Lead technical discussions on implementation approaches, system design, and technology selection.
- Drive technical excellence through code reviews, architectural guidance, and establishing engineering best practices.

Agile Leadership & Collaboration
- Lead and actively participate in agile ceremonies including sprint planning, backlog refinement, estimation workshops, and retrospectives.
- Facilitate technical discussions around story breakdown, effort estimation, and implementation approaches.
- Champion issue triage and resolution, ensuring rapid response to production concerns.
- Partner closely with Product, Data Science, and Software Engineering teams to align technical solutions with business objectives.

Data Engineering Excellence
- Build and optimise complex data pipelines, architectures, and datasets that support critical business decisions.
- Perform sophisticated root cause analysis on data quality issues and system performance bottlenecks.

- Architect data transformation processes, metadata management systems, and workflow orchestration.
- Lead initiatives in data governance, quality assurance, and system reliability engineering.

Team Development & Mentorship
- Mentor data engineers on advanced technical concepts, career growth, and industry best practices.
- Foster a culture of continuous learning, innovation, and technical excellence within the team.
- Lead knowledge sharing sessions and drive adoption of emerging technologies and methodologies.
- Support hiring efforts by conducting technical interviews and defining engineering standards.

All About You
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Technical Leadership & Communication
- Proven track record of providing technical leadership in fast-paced, high-growth technology environments.
- Exceptional communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.
- Experience leading agile teams and driving cross-functional collaboration in product-focused organisations.
- Strong facilitation skills for technical meetings, workshops, and problem-solving sessions.

Advanced Technical Expertise
- Expert-level SQL proficiency and deep experience with both relational and NoSQL databases.
- Extensive experience building and optimising data pipelines using modern big data technologies: Hadoop, Spark, Databricks, Kafka, etc.
- Hands-on expertise with cloud-native data platforms and services.
- Strong programming skills in Java, Python, and other object-oriented/functional languages.
- Deep knowledge of stream processing systems, message queuing architectures, and real-time data processing.
- Experience with data pipeline orchestration tools and workflow management systems.
- Proven ability working with unstructured datasets and extracting insights from large, disconnected data sources.

Leadership & Delivery Excellence
- Strong project management and organisational skills with experience delivering complex technical initiatives.
- Track record of supporting cross-functional teams in dynamic, fast-paced environments.
- Experience with modern software development practices: CI/CD, infrastructure as code, automated testing.
- Strategic mindset with ability to balance technical debt, innovation, and delivery commitments.

Why You'll Love This Role
- Work on cutting-edge fintech solutions at the intersection of cryptocurrency, risk management, and regulatory compliance.
- Leverage industry-leading tools including Snowflake, Spark, and cloud-native architectures to solve complex data challenges.
- Shape technical strategy and mentor talented engineers while remaining hands-on with exciting technical challenges.
- Join a company that values technical excellence, continuous learning, and provides opportunities for career advancement.
- Build solutions that help financial institutions navigate the evolving crypto landscape and protect against risk.
- Work alongside passionate engineers, data scientists, and product professionals who are committed to excellence and innovation.

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.

 Apply on company website