Data Engineer Jobs in Leinster, Ireland

Ponsse seeks a seasoned Data Engineer to design and build robust data infrastructure, turning business needs into end‑to‑end pipelines. The role involves developing data ingestion, warehousing, and publishing solutions on cloud platforms, ensuring data accuracy and accessibility, and collaborating with cross‑functional teams to drive innovation.

Data Engineering team for KKR Credit & Markets builds and maintains a robust data warehouse to support investment analytics. The role designs scalable architecture, creates data pipelines, and implements governance to enable advanced reporting and forecasting.

Data Engineering team at Verve builds high‑throughput data platforms for advertising analytics. The manager leads the Dublin data engineering pod, overseeing data‑platform and analytics workstreams, hiring, and cross‑regional coordination while staying hands‑on designing pipelines and managing production reliability.

Data Science – Data Engineering team at Kitman Labs builds and evolves the Intelligence Platform, a GCP‑native data platform powering sports performance analytics for over 2,000 teams worldwide. The Data Engineer designs, implements and maintains BigQuery data models, Python pipelines, and orchestration workflows, collaborating with engineers, data scientists and product to ensure reliable, scalable data foundations.

Enterprise Platforms team at JPMorgan Chase builds secure, scalable data solutions that power analytics, reporting, and AI/ML across the firm. The Data Engineer III designs, develops, and maintains ELT pipelines on the Palmos platform using Python, Spark/PySpark, and Databricks, and collaborates with domain and governance partners to deliver curated datasets.

Data Engineering Team at a leading global Financial Services firm builds a large‑scale enterprise data platform on a Lakehouse architecture. The Team Lead mentors a distributed group of data engineers, drives Agile delivery, designs scalable ETL/ELT pipelines, and oversees Spark cluster performance and governance.

Data Engineering Practice at a leading global Financial Services firm builds a modern enterprise data platform to enable analytics and AI initiatives. The Senior Data Engineer designs and develops scalable Lakehouse solutions, builds and optimises ETL/ELT pipelines and streaming workflows, and configures Spark clusters for high‑volume processing.

Geo Operations team at Google builds and sustains robust data pipelines that accelerate vector-based geospatial data product creation for Maps, Earth, and Street View. The Data Engineer designs, develops, and scales ETL frameworks, partners with cross‑functional teams and external Geo partners, and drives automation to improve pipeline reliability and reduce manual effort.

Data Engineering team at Amach builds cloud-native data platforms to modernise airline operations. The Senior Data Engineer architects large‑scale pipelines, implements data lakehouse solutions with Databricks and Snowflake, and supports MLOps model management.

Data Engineer on the Geo team at Google, building robust data pipelines for vector-based geospatial data to accelerate product creation and curation for Google Maps. Designs and manages complex data models, ETL workflows, and partner integrations to improve pipeline scale, reliability, and data delivery.

Air Apps, a Lisbon‑based AI‑powered Personal & Entrepreneurial Resource Planner, seeks a Data Engineer to transform user behavior data into actionable insights. The role builds interactive dashboards with Tableau, Power BI, or Looker, cleans large datasets in BigQuery or Snowflake, and collaborates with product, engineering, and marketing teams to drive data‑driven decisions.

Product Development Team at Experian builds data infrastructure that powers global data products. The Data Engineer designs scalable pipelines, models, and cloud migrations to support client-facing analytics.

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world.

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world.

Data Engineer with Snowflake – Commerce Hub is a senior role focused on designing and implementing scalable data architecture, building robust pipelines, ensuring governance and compliance, evaluating new technologies, and providing production support.

Data Engineer at Fiserv focuses on designing, building, and operating large-scale data migration, integration, replication, and streaming solutions to deliver high-quality data into Snowflake. Responsibilities include developing ETL/ELT pipelines with Java, Scala, or Python Spark, building and optimizing SQL queries and Snowflake data models, implementing Snowpipe, external tables, tasks, clustering, and performance tuning, creating low-latency Kafka streaming integrations, delivering machine learning data pipelines, deploying pipelines as code with CI/CD, troubleshooting production issues, writing unit tests, translating BI requirements, and establishing coding and data governance standards.

Mastercard powers economies and empowers people in 200+ countries. We seek a Data Engineer II to build scalable data pipelines using Spark, Hadoop, and Databricks.

Lead data engineer to modernize Citi Fund Services data platforms. Design, develop, optimize scalable containerized pipelines using streaming tech.

Mastercard’s Data Engineer – Graph role focuses on designing, building, and optimizing scalable data pipelines and infrastructure to support advanced analytics, reporting, and decision-making across the organization. The engineer will own complex data projects, contribute to architectural decisions, and mentor junior engineers.

Mastercard’s Services org seeks a Data Engineer to lead design and build the Analytic Foundation, a suite of data‑driven APIs and platforms. The role involves architecting scalable data pipelines, developing analytics models, and delivering insights on credit risk, portfolio optimization, and ad insights.