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This role is based in India and as such all normal working days must be carried out in India.
Join us as a Data Engineer
This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
You’ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers and the bank safe and secure
Participating actively in the data engineering community, you’ll deliver opportunities to support our strategic direction while building your network across the bank
What you'll do
We’ll look to you to drive value for the customer through modelling, sourcing and data transformation. You’ll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering.
We’ll also expect you to be:
Delivering the automation of data engineering pipelines through the removal of manual stages
Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
Delivering data engineering strategies to build a scalable data architecture and customer feature rich dataset for data scientists
Developing solutions for streaming data ingestion and transformations in line with streaming strategy
The skills you'll need
To be successful in this role, you’ll need to be an intermediate level programmer and Data Engineer with a qualification in Computer Science or Software Engineering. You’ll also need a strong understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.
You’ll also demonstrate:
Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL
A good understanding of modern code development practices
Good critical thinking and proven problem solving abilities
It would be ideal if you have experience of using Oracle, Unix scripting, Java, cloud, API, NoSQL and Kafka.