Data Engineer
NatWest Group
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have options that help our people thrive. This role is based in the United Kingdom and all normal working days must be carried out in the United Kingdom.
Join us as a Data Engineer.
Responsibilities
You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making.
We’ll look to you to drive the build of effortless, digital-first customer experiences.
If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for.
What you’ll do As a Data Engineer, you’ll simplify our organisation by developing innovative data-driven solutions through data pipelines, modelling and ETL design, aiming for commercial success while keeping our customers and the bank’s data safe and secure.
You’ll drive customer value by understanding complex business problems and requirements to apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, and carry out complex data engineering tasks to build a scalable data architecture.
Your responsibilities will also include:
Building advanced automation of data engineering pipelines through removal of manual stages
Embedding new data techniques into our business through role modelling, training, and experiment design oversight
Delivering a clear understanding of data platform costs to meet department cost saving and income targets
Sourcing new data using the most appropriate tooling for the situation
Developing solutions for streaming data ingestion and transformations in line with our streaming strategy
The skills you’ll need To thrive in this role, you’ll need strong experience with Snowflake for data warehousing, writing efficient SQL and managing schemas. You’ll also have proficiency in Airflow for orchestration and workflow management, as well as hands-on experience with AWS services, particularly S3 and Lambda.
You’ll have excellent communication skills with the ability to proactively engage and manage a wide range of stakeholders.
Additionally, you’ll need:
Expert-level knowledge of ETL/ELT processes along with in-depth knowledge of data warehousing and data modelling capabilities
Experience with Kafka concepts like producers, consumers and topics with the ability to integrate with streaming pipelines
Proficiency in Python for data engineering and version control systems such as Git
The ability to lead technical initiatives along with experience mentoring junior colleagues
Knowledge of Snowflake performance tuning would be hugely beneficial
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Languages
- English
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