Data Engineer (Python focused)

The Recruitment Company; Galway; On-site; EUR 101,000 - 166,000; Full time

Job summary

The Recruitment Company is seeking a Senior Data Engineer to join a fast-paced technology team in Ireland, delivering scalable data solutions across data and analytics initiatives. This 12-month day-rate contract offers exposure to modern cloud and AI technologies.

Responsibilities include designing data pipelines, ETL, and collaborating with stakeholders to produce production-ready solutions using Python and AWS.

Qualifications

• 6+ years' experience in software, data engineering or enterprise development.
• Strong commercial experience with Python, with Java or C# also considered.
• Solid understanding of relational databases and experience working with technologies such as Oracle, Snowflake or similar.
• Strong understanding of data pipelines, ETL and working with large datasets.
• Hands-on experience with AWS or other cloud environments.
• Good understanding of object-oriented programming and core data structures.
• Experience working with tools such as Pandas and NumPy would be beneficial.
• Comfortable working with REST APIs, scripting and Linux/Windows environments.
• Experience with CI/CD, cloud migration or scalable data processing would be advantageous.
• A practical, problem-solving mindset with the ability to take ownership and deliver in a fast-moving environment.

Responsibilities

• Design and develop reliable data pipelines for large and complex datasets.
• Build solutions to extract, transform and process data from a range of internal and external sources.
• Develop scalable applications and data processing solutions using Python.
• Work with cloud-based technologies, particularly AWS, to support data and analytics workloads.
• Help take ideas from initial concepts and prototypes through to production.
• Work closely with developers, data specialists and business stakeholders to deliver technical solutions.
• Identify opportunities to improve existing systems, processes and data workflows.
• Support production environments and participate in an on-call rotation where required.

Skills

Python

Java

C#

REST APIs

Pandas

NumPy

Tools

AWS

Oracle

Snowflake

Job description

We're looking for a Senior Data Engineer to join a fast-paced technology team working across data, analytics and emerging AI solutions. This is a 12-month day rate contract, offering the opportunity to work on scalable data solutions while getting exposure to modern cloud and AI technologies.

Your Responsibilities

• Design and develop reliable data pipelines for large and complex datasets
• Build solutions to extract, transform and process data from a range of internal and external sources
• Develop scalable applications and data processing solutions using Python
• Work with cloud-based technologies, particularly AWS, to support data and analytics workloads
• Help take ideas from initial concepts and prototypes through to production
• Work closely with developers, data specialists and business stakeholders to deliver technical solutions
• Identify opportunities to improve existing systems, processes and data workflows
• Support production environments and participate in an on-call rotation where required

Your Experience

• 6+ years' experience in software, data engineering or enterprise development
• Strong commercial experience with Python, with Java or C# also considered
• Solid understanding of relational databases and experience working with technologies such as Oracle, Snowflake or similar
• Strong understanding of data pipelines, ETL and working with large datasets
• Hands-on experience with AWS or other cloud environments
• Good understanding of object-oriented programming and core data structures
• Experience working with tools such as Pandas and NumPy would be beneficial
• Comfortable working with REST APIs, scripting and Linux/Windows environments
• Experience with CI/CD, cloud migration or scalable data processing would be advantageous
• A practical, problem-solving mindset with the ability to take ownership and deliver in a fast-moving environment