Senior Data Engineer - Data & AI

What You'll Do

You’ll shape the technical vision and build systems that directly impact our customers' success. This is a unique opportunity to:

• Design, build, and maintain scalable, reliable, and observable data pipelines that meet evolving data standards and governance requirements.
• Develop and optimise structured datasets and metadata frameworks to support advanced analytics, AI, and business intelligence use cases.
• Collaborate closely with software engineers, data scientists, and analysts to ensure the data platform effectively supports business and product goals.
• Drive innovation and best practices in data engineering, continuously improving data quality, performance, and delivery efficiency across teams.

What You’ll Bring

• Extensive experience in data solutions, technology tools, governance tools, cloud platforms, Python/Scala, and SQL.
• Experience building pipelines and products with unstructured data, applying relevant techniques such as classic NLP, embedding and feature extraction from multi-modal data.
• Familiar with engineering practices such as TDD, clean code, CI/CD, and DevOps.
• Proven experience delivering reliable, efficient data infrastructure.
• Strong communication skills with a track record of working across business, tech, and data teams.
• Solid understanding of data quality, consistency, and governance requirements.
• Ability to understand needs across domains like finance, marketing, sales, customer, and product data.
• Awareness of data needs for AI/ML and integration with MLOps tools and practices.

Bachelor’s or Master’s degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.

Ready to Build the Future?

If you’re passionate about Data and AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!