Data Engineer
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Role details
Tech stack
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Job description
- 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 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 your departments 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
Requirements
Do you have experience in SQL?, 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.
Additionally, you’ll need:
- Experience designing ETL and ELT solutions, delivering high-quality, well-modelled data through rigorous testing, cleansing, monitoring, and modern data warehousing on platforms such as Snowflake
- Hands-on experience with AWS cloud data platforms and managed services, including S3 object storage, managed ETL, using Glue and metadata services, along with strong security and governance practices
- Experience of using programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals
- Good knowledge of modern code development practices
- Strong communication skills with the ability to proactively engage with a wide range of stakeholders
Benefits & conditions
Pulled from the full job description
- Annual leave
- Company pension
- Transport links
- On-site parking, Here’s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.
Tap each segment for details.
Your pay package
80% Base pay This is the part your your pay package that you take home every month.
10% Pension funding 10% of your salary goes towards your pension every month.
10% Benefit funding 10% of your salary goes towards a range of benefits you can choose from.
Your leave allowance
30 days Annual leave You’ll also have the opportunity to purchase up to 5 additional days off.
3 days Volunteering Take time off to support the causes you’re passionate about.
3 days Training Take time to build the skills you need to grow your career.
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