# Senior Data Engineer

**Company:** [G MASS](http://jobs.workable.com/companies/91YsMDGMxxHFRTgqyt1Uj9.md)
**Location:** Dublin, Ireland
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/6602f3e0-157b-4010-a071-42a611480021)

## Description

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.

**Responsibilities:**

-   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

## Requirements

-   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

**Desirable:**

-   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

## Benefits

Salary: to be discussed, depending on experience

Length: Permanent contract