HR Data Engineer (Contract)

The Role

A leading organisation in the aviation sector is undertaking a major HR data transformation programme, migrating from a legacy Oracle environment into Snowflake to create a unified, scalable HR data platform.

The core data model has already been designed. The next phase focuses on:

• Building logical data layers
• Developing scalable ETL pipelines
• Delivering a centralised HR data product
• Enabling Power BI reporting and improved organisational insight

This is a highly hands-on engineering role with significant influence over architectural decisions and delivery pace.

What You'll Be Doing****Core Responsibilities

• Deg and developing ETL pipelines within Snowflake
• Working at the logical data modelling layer
• Challenging and supporting existing data architecture
• Collaborating with architects, data engineers, and insight teams

Ownership & Leadership

• Driving delivery of the HR data product within tight 4-6 week timelines
• Acting as a technical sounding board for architecture decisions
• Providing guidance and support to other engineers

Tech Stack

• Snowflake
• DBT
• Python (including Lambda for AWS workflows)
• AWS (data pipelines + infrastructure)
• Oracle (legacy system exposure beneficial)
• Power BI (understanding of downstream consumption)

Domain Experience

• Experience working with HR / People data is highly desirable
• Strong understanding of HR data structures and business logic
• Ability to translate engineering work into real business impact

Data Migration Scope

• Migration from Oracle Snowflake
• Handling both current and historical datasets
• Supporting testing phases: CIT and UIT

Delivery Timeline

• Architectural design completing in 1-2 weeks
• Engineering build to begin immediately
• Initial HR core module delivery in 4-6 weeks
• Longer-term (up to 6 months):
• Feeding datasets into reporting
• Validation & analysis
• UAT beginning September

End Goal

• A fully unified, centralised HR data platform
• Integrated seamlessly with Power BI
• Scalable, reliable pipelines for ongoing analytics
• Stronger insight and reporting for HR and People functions

Interview Process

Stage 1 - 30 mins CV walkthrough + technical discussion with a Data Engineer

Stage 2 - 45 mins Competency + technical deep dive covering:

• DBT development & modelling
• Snowflake engineering
• AWS pipelines (Python / Lambda)
• Data migration approach

Onsite availability required Wednesday/Thursday in week two.

Ideal Candidate Profile

• Strong hands-on experience with Snowflake + DBT
• Proven track record building AWS-based Python/Lambda pipelines
• Background in data migration projects
• Confident challenging architecture and taking ownership
• Experience with HR/People data strongly preferred
• Comfortable delivering at speed and under time pressure