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Senior Data Engineer
On-site in Dublin·Added 4 months ago (last checked 22 Oct)
Our summary
- Work mode
- On-site, Dublin
- Experience
- 6+ years
Skills
Nice to have
Requirements
What we're looking for
- 6+ years in data engineering, with at least 2 years hands-on experience with Databricks
- Strong Python and Spark programming skills
- Solid AWS experience across core services including S3, Glue, and Lambda
- Deep understanding of data modelling, SQL, and ETL/ELT design patterns
- Experience with Delta Lake, Lakehouse architecture, and Git-based version control
- Demonstrable use of AI tools within a professional development workflow
- Strong communication skills and the ability to work effectively across technical and non-technical teams
Nice to have
- Financial services or fund administration background
- Exposure to AI/ML implementation patterns and real-time data processing frameworks
- Multi-cloud experience beyond AWS
- API development or data governance framework experience
- Experience mentoring junior engineers
Pay & benefits
What you'll get
Salary: to be discussed, depending on experience
Length: Permanent contract
The role
We are working with a leading global Financial Services business to hire a Senior Data Engineer into their growing data engineering practice. This is a hands-on technical role sitting at the centre of a major enterprise data platform build, with scope to influence architecture, drive pipeline development, and contribute to AI initiatives across a complex, high-volume financial data environment.
What you'll do
- Design and develop scalable data solutions on a Lakehouse architecture platform, supporting enterprise-wide data processing and analytics
- Build, optimise, and maintain ETL/ELT pipelines and structured streaming workflows for both batch and real-time data ingestion
- Configure and tune clusters and Spark jobs to deliver consistent performance at scale
- Utilise Delta Live Tables and Unity Catalog to manage data ingestion, transformation, and access governance
- Apply IAM best practices and maintain compliance with data security standards across the platform
- Support infrastructure provisioning and resource management using Terraform
- Implement monitoring frameworks covering pipeline performance, data quality, and operational health
- Contribute to code reviews, technical documentation, and team knowledge-sharing
- Work within an Agile delivery model, collaborating closely with data scientists, analysts, and business stakeholders
- Explore emerging technologies and AI tooling to enhance development productivity and platform capability
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