Senior Data Engineer - Python

Are you a highly skilled Data Engineer with strong Python and SQL expertise? Looking to accelerate your career while working on complex, business-critical data platforms within a globally recognised technology organisation? Are you interested in Building Scalable Data Solutions with a Global Technology Leader?

This is an exciting opportunity to join a high-performing engineering team where you'll design and deliver data solutions that power analytics, reporting, and strategic decision-making across the business. You'll work with modern technologies, collaborate with talented engineers, and play a key role in shaping the future of enterprise data platforms.

Why Join?

• Work with a leading global IT services organisation
• Contribute to large-scale, business-critical data initiatives
• Gain exposure to innovative technologies and modern engineering practices
• Collaborate with experienced engineers in a supportive, Agile environment
• Opportunity to influence data platform modernisation and transformation programmes
• Continuous learning and career development opportunities

The Opportunity

We are seeking an experienced Senior Data Engineer to join my clients growing team and help design, build, and support enterprise-scale data ingestion and provisioning solutions.

The ideal candidate will bring deep Python development expertise, strong SQL capabilities, and hands-on experience delivering robust data pipelines. You will work across both Python and Java-based ecosystems, helping to deliver reliable, scalable, and high-performance data solutions that support critical business functions.

Key Responsibilities

Data Engineering & Platform Development

• Design, develop, and maintain scalable data ingestion and provisioning pipelines supporting business-critical applications.
• Build high-quality Python solutions using object-oriented design principles and engineering best practices.
• Develop and optimise data transformation processes to integrate data from multiple structured and semi-structured sources.
• Write efficient, maintainable SQL to support complex data processing, validation, and reporting requirements.
• Work with enterprise relational databases including SQL Server, PostgreSQL, and MySQL.
• Ensure the performance, reliability, and operational stability of production data pipelines.
• Investigate data issues, perform root cause analysis, and implement long-term solutions to improve data quality and resilience.
• Collaborate with software engineering teams across Python and Java environments to deliver integrated data solutions.

Continuous Improvement & Innovation

• Contribute to data platform modernisation initiatives and architectural improvements.
• Identify opportunities to enhance automation, scalability, and operational efficiency.
• Monitor, troubleshoot, and optimise data pipelines to meet performance and reliability targets.
• Create and maintain technical documentation, data models, and engineering standards.
• Participate in Agile ceremonies and contribute to a culture of continuous improvement.

About You

Essential Experience & Skills

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related discipline.
• 5+ years of hands-on software engineering or data engineering experience.
• Strong Python development expertise with solid object-oriented programming knowledge.
• Proven experience building, maintaining, and supporting data ingestion and provisioning pipelines.
• Advanced SQL development skills, including complex queries, joins, optimisation, and performance tuning.
• Experience working with relational database platforms such as SQL Server, PostgreSQL, or MySQL.
• Strong understanding of data quality frameworks, validation processes, and production support.
• Experience working within Agile delivery environments.
• Excellent analytical, troubleshooting, and problem-solving abilities.
• Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.

Desirable Experience

• Java development experience within enterprise application environments.
• Experience working across both Python and Java technology stacks.
• Knowledge of Financial Services, Banking, or Investment Management data domains.
• Exposure to cloud transformation, platform modernisation, or migration programmes.
• Experience with CI/CD, DevOps practices, or modern software delivery methodologies.

What Success Looks Like

In this role, you'll help deliver reliable, scalable, and high-performing data solutions that enable critical business insights. You'll contribute to the evolution of data platform, drive engineering excellence, and play a key role in supporting the organisation's data-driven strategy.

Salary dependent on candidate experience. Benefits: Annual Bonus Scheme. Contributory Pension. Private Medical Insurance. Life Assurance & Long-Term Disability. Employee Assistance Programme. 22 days annual leave + 10 public holidays. Continuous Learning & Development. Access to extensive training & certification resources. Lunch & Learn sessions. Additional perks including company discounts, on-site parking, and bike-to-work scheme

Based in Letterkenny, Co. Donegal. Hybrid (3 days onsite per week). Candidates must be eligible to work in Ireland/EU.

For more information, please contact David Coyle at 01 635 1748 or email [email protected]