Data Engineer

Job Summary

Realta is a dynamic and innovative technology company dedicated to reshaping the landscape of financial risk and compliance management. We seek a Data Engineer with focus on building scalable data solutions to join our talented team at the Fraud & Risk Management Research & Development Centre of Excellence in Limerick City Centre.

At Realta, we are committed to building a diverse and inclusive workplace where everyone can thrive. We welcome applications from all qualified people of all backgrounds, experiences and identities. We believe that different perspectives strengthen our team and help us grow together. Visa sponsorship may be available for the right candidate, in line with Irish employment permit regulation.

Position Overview

As a Data Engineer within our AI and Analytics team, you will play a critical, hands on role in establishing and optimizing the data infrastructure that powers our most ambitious data-driven and machine learning initiatives.

You will be instrumental in defining how we manage, model, and move data across the platform, ensuring the data is high-quality, scalable, and readily accessible for advanced analytics and AI model development. This is a highly collaborative position where you will work closely with Data Scientists, Software Engineers, Product Managers, and key business stakeholders.

How you will contribute

• Define data structures, mappings and flows to enable performant data processing and analysis.
• Research and evaluate data technologies and tools to support our business goals, including hands on technical evaluation and PoCs.
• Design, build, and maintain ETL/ELT pipelines to extract, transform, and load data from various sources.
• Develop and implement data integration solutions to ensure seamless data flow across systems.
• Monitor and optimize data pipelines for performance and reliability.
• Design and implement data storage solutions, including caching, partitioning, and indexing to improve performance.
• Produce and contribute to high-quality documentation.

Desired Experience

• 3+ years of progressive experience in Data Engineering, data warehousing, or a highly related role.
• Bachelor’s degree in a relevant technical discipline (e.g., Computer Science) or equivalent practical experience.
• Experience working in the Financial Services, FinTech, and Risk Management industry is highly advantageous.
• Proven experience developing robust data pipelines and streaming flows for cloud-based data platforms (e.g., AWS, GCP, or Azure).
• Proficiency in Apache Spark (PySpark or Scala) for developing high-performance, distributed big data processing jobs.
• Experience with modern data storage and analytics solutions (e.g., Snowflake, DataBricks).
• Experience with streaming data platforms (e.g., Kafka, Kinesis).
• In-depth knowledge of relational databases (e.g., PostgreSQL, MySQL) and familiarity with NoSQL databases (e.g., MongoDB, DynamoDB, Neo4J, etc).
• Strong proficiency in at least one core programming language (e.g., Python, Java, Scala) and expert knowledge of SQL.
• Familiarity with data visualization tools (e.g., Sigma, Tableau, Looker, PowerBI) is a plus.
• Demonstrated ability to solve complex problems and make sound technical decisions.
• Experience implementing security measures and ensuring compliance with data privacy and security regulations.
• Experience supporting machine learning use cases and data preparation for MLOps is advantageous.

Benefits

We offer a competitive and inclusive benefits package designed to support your wellbeing and work-life balance. Our benefits include:

• Generous annual leave
• Hybrid working
• Family friendly & wellbeing leave policies,
• Comprehensive healthcare plan and support
• Pension plan
• Opportunities for learning and career development
• A workplace culture that values diversity, equity and inclusion

We understand everyone has commitments outside of work, and where possible we aim to help you balance your career and personal life.

Additional information

This is a hybrid role in our Limerick City office that includes work from home and assigned office days set by your manager.