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Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
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- Full-time
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Data Engineering Team Lead - Databricks

G MASS
Dublin, County Dublin

Quick apply

Job details

Full-time

Qualifications

Data modelling
Spark
Git
SQL
AWS
Terraform
Unity
Agile
S3
AI
Leadership
Communication skills
Python

Full job description

We are working with a leading global Financial Services business to hire an experienced Data Engineering Team Lead to head up a team of engineers working across a large-scale enterprise data platform. This is a senior hands-on leadership role requiring both deep technical expertise and the ability to drive delivery, mentor talent, and set standards across a distributed engineering function.

Responsibilities:

Lead, mentor, and develop a team of data engineers across multiple locations, driving code reviews, design reviews, and a culture of knowledge-sharing
Own and drive Agile/Scrum delivery processes, ensuring the team operates effectively against roadmap priorities
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 uphold compliance with data security and governance standards
Support infrastructure provisioning and resource management using Terraform
Implement monitoring frameworks covering pipeline performance, data quality, and operational health
Contribute to technical documentation and promote continuous improvement across the engineering practice

Requirements

8+ years in data engineering, with at least 3 years hands-on experience with Databricks
Proven experience leading and managing a team of data engineers
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 leadership, communication, and stakeholder management skills

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
Track record of developing junior and mid-level engineers in a fast-paced environment

Benefits

Salary: to be discussed, depending on experience

Length: Permanent contract

Quick apply

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