Pab Staffing Solutions Ltd
Data Engineer

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Data Engineer
Location: This role is open to candidates based in London and Manchester.
Salary:
- London: £80,000–£100,000
- Manchester: £60,000–£75,000
Working Pattern: Hybrid
Essential Requirement: Applicants must have full right to work in the UK and must not require visa sponsorship now or in the future. Unfortunately, we are unable to consider candidates who require current or future sponsorship.
Essential Skills
- Commercial experience designing ETL and ELT solutions.
- Hands-on AWS cloud data platform experience, including S3, Glue, and metadata services.
- Experience with modern cloud data warehousing technologies such as Snowflake.
- Strong SQL and Python programming skills.
- Experience building scalable data pipelines and data models.
- Good understanding of modern software development practices, testing, security, and data governance.
- Excellent communication and stakeholder management skills.
About the Role
We're looking for an experienced Data Engineer to join a leading Tier 1 UK bank and help deliver innovative, secure, and scalable data solutions across enterprise platforms.
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.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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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 department's 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.


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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.
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, Glue, and metadata services, along with strong security and governance practices.
- Experience using programming languages such as 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.
Why is this a great opportunity?
- Join a leading Tier 1 UK bank.
- Hybrid working.
- Competitive salary, bonus, and 10% pension.
- Opportunity to work on enterprise-scale cloud data engineering projects using modern technologies.
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