Data Engineer
Dublin – Hybrid
Long Term Contract
Daily Rate
Data Engineer level II to contribute to the data management aspects of client engagements for Test & Learn and other Services products. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features.
The role:
Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors.
Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets.
Partner with analytics and business stakeholders to understand business questions and translate them into data requirements.
Learn and apply industry best practices, such as version control, code reviews, and data validation, to ensure quality in data processes.
Participate in efforts to design streamlined processes to automate routine data tasks.
Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
All About You:
Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
Experience with Microsoft SQL Server and relational databases.
Ability to design, implement, and maintain ETL pipelines.
Experience with Databricks and Spark
Experience with productivity tools such as GitHub Copilot
Ability to innovate, think critically, and break down problems.
Ability to handle tasks on multiple projects and navigate competing priorities.
Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.