Job description
Your new company
You will be joining a large, established organisation with a strong focus on data, analytics, AI and digital transformation.
The business is investing in a modern data and AI platform to support better decision-making, customer-focused use cases and scalable data products. The data team works closely with technology, cloud, software engineering, architecture, governance, analytics and business teams to deliver trusted, reusable data solutions across the organisation.
Your new role
As a Data Engineer, you will support the delivery of the organisation’s data and AI roadmap by building high-quality data pipelines, platforms and reusable data products.
You will be responsible for developing ETL/ELT and MLOps pipelines, transforming foundational data into business-ready datasets and supporting the creation of a single source of truth across the organisation.
You will work closely with Data Engineers, ML Engineers, Data Scientists, Analysts, Governance, Cloud, DevOps, Architecture and wider business stakeholders to deliver scalable data solutions. The role will also involve troubleshooting pipeline issues, supporting BAU data products, contributing to platform optimisation and working within agile delivery practices.
What you'll need to succeed
- Experience in data engineering, ideally within a large or complex organisation
- Strong SQL skills
- Exposure to data transformation tools such as dbt
- Experience building or supporting ETL/ELT data pipelines
- Understanding of modern data platforms and reusable data product development
- Exposure to AI/ML platforms, MLOps or AI-enabled data solutions would be advantageous
- Exposure to software engineering practices would also be beneficial
- Strong collaboration skills and the ability to work with technical and non-technical stakeholders
- A problem-solving mindset, natural curiosity and confidence working through ambiguity
- A proactive, can-do attitude and willingness to contribute to a growing data and AI capability
What you'll get in return
- The opportunity to join a large organisation that is investing heavily in its data, analytics and AI capability.
- Exposure to modern cloud-based data platforms and emerging AI technologies.
- The chance to work on enterprise-scale data products that support strategic business outcomes.
- A collaborative environment where you'll partner with Data, AI, Engineering, Architecture and Technology teams.
- The ability to contribute to a growing Data & Analytics function and play a key role in shaping future capabilities.
- Ongoing learning and development opportunities within a business committed to innovation and digital transformation.
- A supportive culture that encourages initiative, collaboration and career growth.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
LHS 297508 #3008061 - Shannon Hackney
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