Data Engineer - Azure

Vanrath; Dublin; Hybrid; EUR 83,000 - 120,000; Full time

Benefits offered by this job

Hybrid or remote work

Job summary

VANRATH is partnering with a global technology consultancy to hire an experienced Data Engineer on a 6-month contract to help build modern data platforms using Snowflake, Databricks and Microsoft Azure. You will design scalable pipelines and work directly with clients to deliver robust data solutions.

The role emphasizes hands-on data engineering, governance and best practices, with hybrid or remote working options and a competitive day rate.

Qualifications

• Senior Data Engineer or Data Consultant with commercial experience.
• Hands-on Snowflake and Databricks experience.
• Strong Azure skills (Azure Data Factory & Data Lake).
• Advanced SQL and Python or PySpark.
• Experience building enterprise-scale ETL/ELT pipelines.
• Knowledge of data modelling, governance and data quality.
• Client-facing delivery experience with stakeholder management.

Responsibilities

• Design and build scalable data pipelines and cloud data platforms using Snowflake, Databricks and Azure.
• Develop reliable ETL/ELT workflows for large datasets.
• Improve data models, platform performance and processing costs.
• Support migration, integration and transformation programmes.
• Collaborate with stakeholders to understand requirements and deliver solutions.

Skills

Senior Data Engineer

Snowflake

Databricks

Azure Data Factory

Azure Data Lake

SQL

Python/PySpark

ETL/ELT pipelines

Data modelling

Governance

Stakeholder management

Tools

Snowflake

Databricks

Azure Data Factory

Azure Data Lake

SQL

Python/PySpark

Job description

Negotiable day rate | 6 months, with scope to extend

VANRATH is partnering with a global technology consultancy that delivers cloud and data transformation projects for some of the biggest names in enterprise. They're bringing in an experienced Data Engineer on contract to help build modern data platforms on Snowflake, Databricks and Microsoft Azure. You'll be joining a collaborative team that works with well-known organisations across a range of sectors.

The role

You'll design and build scalable data pipelines and cloud data platforms, delivering solutions across Snowflake, Databricks and Azure Data Services. Day to day, you'll develop reliable ETL/ELT workflows for large, complex datasets. You'll also improve data models, platform performance and processing costs, and support migration, integration and transformation programmes. Because this is a client-facing role, you'll work directly with stakeholders to understand what they need and deliver solutions to match, while sharing your expertise and promoting data engineering best practice across the team.

What you'll bring

• Strong commercial experience as a Senior Data Engineer or Data Consultant
• Hands-on experience with Snowflake and Databricks
• Solid Azure skills, particularly Azure Data Factory and Azure Data Lake
• Advanced SQL, plus Python or PySpark
• A track record of building enterprise-scale ETL/ELT pipelines
• A good grasp of data modelling, governance and data quality
• Consultancy or client-facing delivery experience, with confident communication and stakeholder management

What's on offer

A competitive day rate, an initial 6-month contract with a strong chance of extension, and flexible hybrid or remote working.