Data Engineer (AWS | AWS Glue | Apache Airflow | Snowflake)
You will use AWS, AWS Glue, Apache Airflow, Snowflake, Amazon QuickSight, SQL, and Python to build and maintain production ETL/ELT pipelines and cloud-native data platforms. You join a newly established Data Engineering team within a leading UK Financial Services organisation focused on unsecured lending.
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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.
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.
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.