Senior Databricks Engineer

Cpl; Dublin; Hybrid; EUR 100,000 - 140,000; Full time

Job summary

Cpl in Dublin seeks a Senior Databricks Data Engineer to own and evolve the data platform. You will work hands-on on Databricks, shaping architecture and engineering standards while delivering scalable data solutions.

Initial engagement is a 6-month contract with a strong possibility of permanent hire. The role requires independent problem solving and close collaboration with engineering, technology and business stakeholders in a hybrid Dublin setting.

Qualifications

• Strong hands-on Databricks experience essential.
• Senior or Lead Data Engineer with data platform ownership experience.
• Experience designing scalable ETL/ELT pipelines.
• Strong SQL and data modelling skills.
• Ability to influence architecture and take technical direction.
• Excellent stakeholder communication and collaboration skills.

Responsibilities

• Take technical ownership of the Databricks data platform.
• Design, build and optimise scalable data pipelines and data processing solutions.
• Help define the future architecture and technical direction of the platform.
• Improve engineering standards, performance, reliability and maintainability.
• Work independently on complex Data Engineering challenges.
• Provide technical guidance and influence key decisions around the data landscape.
• Collaborate with engineering, technology and business stakeholders.
• Identify opportunities to improve and modernise the existing data environment.

Skills

Databricks

Data architecture

ETL/ELT pipelines

Stakeholder communication

Independent work

Tools

SQL

ETL Tools

Job description

Senior Databricks Data Engineer l Dublin – Hybrid l Contract: Initial 6-Month Contract

The Opportunity

We are currently hiring a Senior Databricks Data Engineer for a key position within an established organisation in Dublin. This is more than a traditional delivery-focused Data Engineering role. The successful candidate will take real technical ownership of the data platform, working hands-on while helping shape its architecture, engineering standards and future direction. The initial engagement will be a 6-month contract, with a strong possibility of the position developing into a permanent role.

Key Responsibilities

• Take technical ownership of the existing Databricks data platform.
• Design, build and optimise scalable data pipelines and data processing solutions.
• Help define the future architecture and technical direction of the platform.
• Improve engineering standards, performance, reliability and maintainability.
• Work independently on complex Data Engineering challenges.
• Provide technical guidance and influence key decisions around the data landscape.
• Collaborate with engineering, technology and business stakeholders.
• Identify opportunities to improve and modernise the existing data environment.

Experience Required

• Strong hands-on Databricks experience – essential.
• Significant experience as a Senior or Lead Data Engineer.
• Previous experience taking ownership or technical responsibility for a data platform.
• Strong understanding of data architecture and modern Data Engineering principles.
• Experience designing and developing scalable ETL/ELT pipelines.
• Strong SQL and data modelling skills.
• Ability to operate independently and take responsibility for technical decisions.
• Comfortable influencing architecture and longer-term technical direction.
• Strong problem-solving and stakeholder communication skills.