Data Engineer

Data Engineer - Belfast (Hybrid) | Databricks & AWS

A well-established, large-scale organisation is looking for an experienced Data Engineer to join its growing Data & Analytics team in Belfast. This is a fantastic opportunity for a Data Engineer with experience in Databricks, AWS, Python and/or PySpark to join an organisation investing heavily in its data engineering, analytics and AI capabilities.

The successful Data Engineer will play a key role in designing, building and maintaining scalable data pipelines, ETL processes and cloud data infrastructure, with a particular focus on Databricks and AWS. You'll work across cloud, on-premise, API and streaming data sources, helping to develop modern data architectures and deliver high-quality data solutions for analytics and AI.

This is a hybrid Data Engineer role based in Belfast, offering the opportunity to work with modern cloud technologies including Databricks, AWS Glue, Delta Lake and Spark, while contributing to a wider programme of data transformation and continuous improvement.

Key requirements include 2+ years' Data Engineering experience, strong Python/PySpark and/or Databricks experience, and a good understanding of data warehousing and big data concepts.

Applicants must have the existing and unrestricted right to work in the UK/Northern Ireland. This role does not offer visa sponsorship.

As a Data Engineer, you will be responsible for designing, building and maintaining reliable data infrastructure and ETL pipelines, with a particular focus on Databricks and AWS.

You'll work closely with technical and business stakeholders to deliver scalable data solutions and support the development of modern analytics and AI-driven insights.

This is an excellent opportunity for a Data Engineer in Belfast who is keen to work with modern cloud data technologies and contribute to a significant data transformation programme.

• Develop and maintain scalable ETL processes using Databricks and AWS Glue
• Build automated data pipelines across cloud, on-premise, API and streaming sources
• Develop data architectures aligned with business requirements
• Build and maintain data models for BI and analytics
• Work with Delta Lake and modern data warehousing technologies
• Maintain Databricks notebooks, jobs and workflows
• Optimise Spark jobs and data workflows for performance and scalability
• Monitor, troubleshoot and improve data pipeline performance
• Ensure data quality, integrity, security and compliance
• Support wider analytics, AI and machine learning initiatives
• Contribute to continuous improvement and knowledge sharing across the Data team

We're looking for a Data Engineer with:

• 2+ years' experience in a Data Engineering or similar role
• Strong experience with Python, PySpark and/or Databricks
• Good understanding of Delta Lake, data warehousing and big data concepts
• Experience working with cloud-based data platforms
• Strong analytical and problem-solving skills
• Excellent communication skills and the ability to work with both technical and non-technical stakeholders
• A collaborative and proactive approach

It would be advantageous for the Data Engineer to have experience with:

• AWS Glue
• API integrations
• Retail or other high-volume data environments
• Advanced analytics, AI or machine learning
• Agile/Scrum environments
• Relevant degree or technical qualification

• Competitive salary and benefits package
• Flexible working, hybrid/remote
• Contributory pension
• Healthcare and life assurance
• Employee assistance programme
• Employee discounts and rewards
• Strong opportunities for learning, development and progression

This is a great opportunity for a Data Engineer looking to join an established organisation in Belfast that is undergoing significant investment and transformation across its Data & Analytics function.

If you're a Data Engineer with experience in Databricks, AWS, Python/PySpark or modern cloud data platforms , this could be an excellent next step in your career.

For further information on this Data Engineer job in Belfast , apply via the link or contact the VANRATH office for a confidential chat today.

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Skills:
Data Engineer Data Scientist Databricks Engineer Data