Pab Staffing Solutions Ltd
Data Engineer (AWS | AWS Glue | Apache Airflow | Snowflake)
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Data Engineer
AWS | AWS Glue | Apache Airflow | Snowflake
Location: Edinburgh or London (Hybrid – 6 days per month in the office).
Candidates based in either location are encouraged to apply.
Salary: Up to £100,000 + Bonus + 10% Pension
Visa Sponsorship: Available for the successful candidate already in the UK
Please only apply if you have strong commercial hands-on experience with ALL of the following core technologies:
- AWS Cloud Platform
- AWS Glue
- Apache Airflow
- Snowflake
If you do not have commercial experience across these four core technologies, this role is unlikely to be the right fit.
Essential Skills & Experience
- Strong commercial hands-on experience with AWS Cloud Platform, including Amazon S3.
- Strong commercial experience with AWS Glue for building and maintaining production ETL/ELT pipelines.
- Strong commercial experience with Apache Airflow, including designing, developing and maintaining production workflow orchestration.
- Strong commercial experience with Snowflake, including data ingestion, transformation, data modelling and data warehousing.
- Strong commercial experience with Amazon QuickSight.
- Strong SQL and Python programming skills.
- Commercial experience designing and developing scalable ETL/ELT solutions.
- Experience building scalable cloud-native data pipelines and data models.
- Strong understanding of software engineering best practices, testing, metadata management, security and data governance.
- Excellent communication and stakeholder management skills.
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Desirable
- Experience working within Financial Services is beneficial but not essential.
About the Role
This is an exciting opportunity to join a newly established Data Engineering team within a leading UK Financial Services organisation focused on unsecured lending.
Working alongside the Data Engineering Lead and a growing engineering team, you will play a key role in designing, building and optimising enterprise-scale cloud data platforms using modern AWS technologies.
This is a hands-on role requiring a strong technical background and the ability to deliver robust, scalable and production-ready data engineering solutions.
Key Responsibilities
- Design, develop and optimise scalable ETL/ELT pipelines.
- Build enterprise-grade data ingestion and transformation solutions using AWS Glue.
- Design, develop and maintain Apache Airflow workflows for automated pipeline orchestration.
- Develop scalable Snowflake data models, ingestion pipelines and data warehouse solutions.
- Build cloud-native data solutions using AWS services, including Amazon S3.
- Develop high-quality SQL and Python solutions for complex data engineering challenges.
- Deliver secure, reliable and governed enterprise data platforms.
- Collaborate with business stakeholders, architects and engineering teams to deliver scalable data solutions.
- Drive automation, monitoring and continuous improvement across the data platform.
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Interview Process
Technical Interview covering:
- Snowflake data ingestion.
- SQL technical discussion.
- Apache Airflow pipeline automation.
- Scenario-based technical problem solving.
- Communication and stakeholder engagement.
Followed by:
- Behavioural Interview.
What's on Offer
- Up to £100,000 + Bonus + 10% Pension.
- Hybrid working (6 days per month in the office).
- Visa sponsorship for the successful candidate.
- Opportunity to join a newly established Data Engineering team within a leading UK Financial Services organisation.
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