Data Engineer (Dublin)

Data Engineer

The Data Engineer is a technical leader and hands-on developer responsible for designing, building, and optimizing data pipelines and infrastructure to support analytics and reporting. This role will serve as the lead developer on strategic data initiatives, ensuring scalable, high-performance solutions are delivered effectively and efficiently.

The ideal candidate is self-directed, thrives in a fast-paced project environment, and is comfortable making technical decisions and architectural recommendations. The ideal candidate has prior experience in modern data platforms, most notable Databricks and the lakehouse architecture. They will work closely with cross-functional teams, including business stakeholders, data analysts, and engineering teams, to develop data solutions that align with enterprise strategies and business goals.

Experience in the financial industry is a plus, particularly in designing secure and compliant data solutions.

Responsibilities :

• Design, build, and maintain scalable ETL / ELT pipelines for structured and unstructured data.
• Optimize data storage, retrieval, and processing for performance, security, and cost-efficiency.
• Ensure data integrity and governance by implementing robust validation, monitoring, and compliance processes.
• Consume and analyze data from the data pipeline to infer, predict and recommend actionable insight, which will inform operational and strategic decision making to produce better results.
• Empower departments and internal consumers with metrics and business intelligence to operate and direct our business, better serving our end customers.
• Determine technical and behavioral requirements, identify strategies as solutions, and section solutions based on resource constraints.
• Work with the business, process owners, and IT team members to design solutions for data and advanced analytics solutions.
• Perform data modeling and prepare data in databases for analysis and reporting through various analytics tools.
• Play a technical specialist role in championing data as a corporate asset.
• Provide technical expertise in collaborating with project and other IT teams, internal and external to the company.
• Contribute to and maintain system data standards.
• Research and recommend innovative, and where possible automated approaches for system data administration tasks. Identify approaches that leverage our resources and provide economies of scale.
• Engineer system that balances and meets performance, scalability, recoverability (including backup design), maintainability, security, high availability requirements and objectives.

Skills :

Experience and Education :