Data Engineer - Level 2

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.

To apply or find out more about contact [email protected] – 01-947 6301

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