Role Overview
An industry leading Bank is looking for an Analytics Engineer to bridge the gap between Data Engineers and Data Analysts in the team. The Analytics Engineer sits at the heart of that – bridging the gap between data engineering and analytics and building the data foundation that powers client engagement decisions.
What You Will Do
Transform complex data into accessible, reliable and performant data models and insights that drive organisational decision-making. Collaborate with stakeholders to understand analytical needs, design scalable data models, and apply CI/CD practices to productionise and maintain robust data solutions.
Why It Might Be a Fit
The team needs someone who can take complex, raw data and shape it into clean, trusted data assets that analysts and engineers can actually use, fast.
Requirements
- At least 5-8 years’ experience in analytics engineering or a closely related data role
- Bachelor’s Degree in Analytical/Data/Technical or Other Knowledge
- Advanced grasp of data modelling best practices, data governance and quality assurance, cloud data platforms and orchestration tools (e.g., Airflow, Prefect), and software engineering principles (e.g., CI/CD, testing)
To apply for this job please visit linkedin.com.
Follow us on social media