Robert Half have partnered with a London‑based pharmaceutical manufacturing organisation who are looking to engage a Senior Data Engineer to play a key role in scaling and maturing their data function.
This is an initial 12‑month contract, playing a key role in stabilising and improving a currently fragmented data architecture while introducing best‑practice engineering and delivery standards. The role requires 1 day per week onsite in London.
Responsibilities:
* Lead the design and implementation of a clear, structured data engineering framework
* Build, enhance, and maintain data pipelines within Snowflake
* Develop transformations and data models using DBT
* Orchestrate workflows using Apache Airflow
* Write clean, modular Python code for data engineering solutions
* Improve pipeline reliability, performance, and observability
* Introduce and embed CI/CD, testing, and deployment best practices (Azure DevOps)
* Define and implement clear data domains and schemas
* Address ongoing ETL failures and long‑running jobs
* Work closely with technical and non‑technical stakeholders in an Agile delivery environment
* Contribute to roadmap definition and future platform evolution (including potential Databricks adoption)
Skills:
* Strong hands‑on experience as a Data Engineer at Senior or Lead level
* Extensive experience with Snowflake as a core data platform
* Advanced SQL with strong business logic and modelling capability
* Experience with DBT, Airflow, and Python
* Experience building modular, scalable solutions within Snowflake
* CI/CD pipeline experience, ideally using Azure DevOps
* Exposure to Docker and modern software engineering practices
* Strong understanding of software delivery lifecycles and engineering best practices
* Background in software engineering (rather than purely analytics-focused roles)
* Experience working in Agile / Scrum delivery environments
* Databricks experience or exposure desirable
Contract:
* Initial 12‑month contract
* London‑based, 1 day per week onsite
* Competitive day rate
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