Join us as a Data Engineer
- We’re looking for someone to build effortless, digital first customer experiences to help simplify our organisation and keep our data safe and secure
- Day-to-day, you’ll develop innovative, data-driven solutions through data pipelines, modelling and ETL design while inspiring to be commercially successful through insights
- If you’re ready for a new challenge, and want to bring a competitive edge to your career profile by delivering streaming data ingestions, this could be the role for you
- We're offering this role at associate vice president level
What you’ll do
Your daily responsibilities will include you developing a comprehensive knowledge of our data structures and metrics, advocating for change when needed for product development. You’ll also provide transformation solutions and carry out complex data extractions.
We’ll expect you to develop a clear understanding of data platform cost levels to build cost-effective and strategic solutions. You’ll also source new data by using the most appropriate tooling before integrating it into the overall solution to deliver it to our customers.
You’ll also be responsible for:
- Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions
- Participating in the data engineering community to deliver opportunities to support our strategic direction
- Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists
- Building advanced automation of data engineering pipelines through the removal of manual stages
- Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required
The skills you’ll need
To be successful in this role, you’ll have an understanding of data usage and dependencies with wider teams and the end customer. You’ll also have experience of extracting value and features from large scale data.
We’ll expect you to have experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities.
You’ll also need:
- At least eight years of experience in scikit-learn and SciPy for ML algorithms along with experience in Python and PyTorch
- Knowledge of API, Microservices, async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, and queues
- Experience of building rapid applications using FastAPI and Streamlit, Matplotlib, and seaborn enabling prototyping
- Experience in developing intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as React, LangChain, Langraph.
- Machine Learning experience of clustering techniques and classification models
Hours
45
Job Posting Closing Date:
17/06/2026
