Data Engineer
London
NatWest Group
NatWest Group - Supporting customers, news, investors and sustainabilityJoin us as a Data Engineer
- 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 be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful 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 correctly 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, along with carrying out complex data engineering tasks to build a scalable data architecture.
Your responsibilities will also include:
- Building advanced automation of end user developed applications and data engineering pipelines through removal of manual stages
- Providing solution design for typical DevOps framework problems
- Embedding new data techniques into our business through role modelling, training and experiment design oversight
- 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 a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You’ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.
We’ll expect you to have experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis and a good understanding of modern code development practices.
Additionally, you’ll need:
- Advanced technical skills in Python, PySpark, SQL or PostgreSQL, GitLab, MS Excel and AWS tools
- Intermediate skills in MS Office Visual Basic, Oracle DB or business objects
- Basic knowledge of C#, JavaScript, SAS 4GL, JIRA tools and Tableau
- Data warehousing and data modelling capabilities
- Experience of working in a governed, and regulatory environment
- Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders
Hours
35Job Posting Closing Date:
05/12/2024Ways of Working:Hybrid* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Data pipelines Data quality Data Warehousing DevOps Engineering ETL Excel GitLab JavaScript Jira Oracle Pipelines PostgreSQL PySpark Python SAS SQL Streaming Tableau Testing
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