Senior Databricks Data Engineer - Hybrid (3 days onsite)

Confidential Company; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Confidential Company is seeking a Data Engineer to design, build and maintain scalable data pipelines and data warehouse solutions. You will collaborate with senior data engineers, architects and product owners to ensure high-quality data assets.

The role is hybrid, three days onsite per week, offering opportunities to work across AWS/Azure/GCP environments and modern data tooling. Strong communication and problem-solving skills are essential.

Qualifications

• Minimum of 5 years in Data Engineering or related field.
• Minimum of 3 years hands-on Databricks in production.
• Strong expertise in cloud platforms (AWS/Azure/GCP) and Data Lake/Data Warehousing.
• Experience with ETL tools and BI solutions (Airflow, PowerBI).
• Experience with data quality and governance tools (Atlan, Monte Carlo).
• Solid knowledge of data modelling concepts.
• Excellent communication and collaboration skills.
• Problem-solving and analytical mindset.
• Ability to work autonomously and as part of a team.

Responsibilities

• Design, build and maintain scalable Databricks data pipelines to ingest, transform and deliver high-quality data into Data Lake and Data Warehouse environments.
• Develop and optimise ETL/ELT workflows using Airflow to ensure reliable data delivery.
• Manage and enhance cloud-based data platforms (AWS/Azure/GCP), focusing on performance, scalability, security and cost efficiency.
• Implement and maintain data quality, governance, lineage and monitoring frameworks with Atlan and Monte Carlo.
• Partner with business stakeholders, BI teams and engineering teams to design data models and deliver analytics-ready datasets.

Skills

Communication skills

Collaboration

Analytical mindset

Problem solving

Autonomy

Education

Master's in Computer Science / Data Science or related field

Tools

Databricks

Airflow

PowerBI

Atlan

Monte Carlo

AWS

Azure

GCP

Job description

Confidential Company is seeking a Data Engineer to design, build and maintain scalable data pipelines and data warehouse solutions. You will collaborate with senior data engineers, architects and product owners to ensure high-quality data assets.

The role is hybrid, three days onsite per week, offering opportunities to work across AWS/Azure/GCP environments and modern data tooling. Strong communication and problem-solving skills are essential.