Data Engineer, AVP

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
• Ensure high data quality, governance and reliability through automated validation, monitoring and optimised data lake practices
• Developing end-to-end data workflows with strong focus on performance, scalability and efficient data modelling
• Building advanced automation of data engineering pipelines through the removal of manual stages
• Driving engineering excellence using CI/CD, infrastructure as code and observability to deliver highly reliable and production-grade data solutions 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

• Experience of designing and building scalable data pipelines on AWS using Python, PySpark, Glue, Athena and Iceberg to transform complex payment data into reliable, analytics-ready datasets
• Good knowledge of modern code development practices
• Great communication skills with the ability to proactively engage with a range of stakeholders