Data Engineer

Fulcrum Digital Inc; Dublin; On-site; EUR 75,000 - 95,000; Full time

Job summary

A global technology company in Dublin is looking for an innovative data engineer to lead technical design and development for an Analytic Foundation. This role involves building scalable analytics solutions and mentoring junior engineers. Ideal candidates should have at least 4 years of experience in full stack engineering, proficiency in Python or Scala, and a strong background in analytics and cloud technologies. Join a growing team where you can make a significant impact.

Qualifications

• 4+ years of full stack engineering experience in an agile production environment.
• Experience leading the design and implementation of large, complex features in full-stack applications.
• High proficiency in Python or Scala, SQL, and tools like Spark, Hadoop.

Responsibilities

• Implement complex features and build scalable applications.
• Maintain analytics and data models for product performance.
• Mentor junior engineers and collaborate across teams.

Skills

Full stack engineering

Python

Scala

Spark

SQL

Data-driven applications

Machine learning

Cloud technologies

Education

Degree in Computer Science or related technical field

Tools

Hadoop

AWS

Azure

Databricks

Job description

Dublin 02, Ireland | Posted on 10/31/2025

Overview

We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Team & Services

The Services org is a key differentiator for Client's, providing cutting‑edge services used by some of the world’s largest organizations to make multi‑million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end‑to‑end solutions for a diverse global customer base. Centered on data‑driven technologies and innovation, these services include payments‑focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data‑driven information and risk management services.

Advanced Analytics Program

Within the Services Technology Team, the Advanced Analytics program is a relatively new program comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. We are enhancing our customer experience with new user interfaces, moving to API and web application‑based data publishing to allow for seamless integration in other Client's products and externally, utilizing new datasets and algorithms to further analytic capabilities, and generating scalable big data processes.

Position

We are looking for an innovative data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities with a comprehensive data platform, offered through a series of APIs that deliver data and insights from various points along a central datastore. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features.

Products

• Portfolio Optimizer – leverages Client's data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios.
• Audiences – uses anonymized and aggregated transaction insights to offer targeting segments with a high likelihood to purchase within a category.
• Credit Risk products – a new suite of APIs and tooling to provide lenders real‑time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Client's data.

Position Responsibilities

• Play a large role in the implementation of complex features.
• Push the boundaries of analytics and powerful, scalable applications.
• Build and maintain analytics and data models to enable performant and scalable products.
• Ensure a high‑quality code base by writing and reviewing performant, well‑tested code.
• Mentor junior engineers and teammates.
• Drive innovative improvements to team development processes.
• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features.
• Collaborate across teams with exceptional peers who are passionate about what they do.

Ideal Candidate Qualifications

• 4+ years of full stack engineering experience in an agile production environment.
• Experience leading the design and implementation of large, complex features in full‑stack applications.
• Ability to move between business, data management, and technical teams; intuit business use cases and translate to technical solutions.
• Experience with open‑source tools, predictive analytics, machine learning, advanced statistics, and other data techniques.
• High proficiency in Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms.
• Experience building and deploying production‑level data‑driven applications and data pipelines; implementing machine learning systems at scale in Java, Scala, or Python.
• Experience in cloud technologies like Databricks, AWS, Azure.
• Strong technologist with a proven track record of learning new technologies and frameworks.
• Customer‑centric development approach.
• Passion for analytical / quantitative problem solving.
• Experience identifying and implementing technical improvements to development processes.
• Collaboration skills across roles and geographies.
• Motivation, creativity, self‑direction, and desire to thrive on small project teams.
• Superior academic record with a degree in Computer Science or related technical field.
• Strong written and verbal English communication skills.

Other

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