Job Description

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

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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

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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 minimum seven years in 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 ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control Experience in data engineering toolsets such as Airflow, RDBMs (PGSQL/Oracle/DB2), Snowflake, S3, EMR,DataBricks and Data Pipelines * Experience in reporting tools such as QuickSight