Data Engineer

In this role, you will be instrumental in defining and developing meaningful narratives and metrics, building the underlying data aggregations and schemas to support insightful visualizations in our user interface.

Our Dublin-based team is dedicated to unifying insights related to data processing, data lineage, and data infrastructure across the entire Services division. This initiative aims to generate a comprehensive operational health view of our data pipelines, driving operational excellence through incident analysis, guiding agentic resolution of issues, and enabling proactive prevention of future incidents. The role primarily focuses on data within our data warehouse, involving writing Spark SQL jobs and creating Snowflake dynamic table definitions.

About Our Client

A renowned multinational company at the forefront of software, computer, and mobile tablet innovation, committed to making impactful technological advancements.

This is a fantastic opportunity to work within a dynamic, innovative environment, contributing to impactful projects that enhance operational excellence across a global organization.

Responsibilities

• Define and develop metrics and narratives that support business insights
• Build and maintain data aggregations, schemas, and pipelines within Snowflake
• Develop Spark SQL jobs to process large datasets efficiently
• Collaborate with cross-functional teams to understand data needs and deliver solutions
• Support operational health monitoring by analyzing data pipelines and incident data
• Contribute to the continuous improvement of data infrastructure and workflows

• Bachelor’s degree in a scientific or quantitative field
• Strong commercial experience in Data Analysis, Insights Analysis, or Analytics Engineering roles
• Advanced proficiency in SQL
• Intermediate skills in Python or R
• Experience deploying and managing jobs via schedulers such as Airflow
• Proven ability to tell compelling stories with data

• Experience with Spark
• Knowledge of big data concepts (HDFS, Spark, compute, and memory components of job sizing)
• Experience with the full BI development cycle — from defining metrics, developing ETL pipelines, to optimizing schemas and aggregations for performance

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.