đź“Ť Location:London, Hybrid
đź’°Rate:Up to ÂŁ600 per day
📆Contract:6 months (Outside IR35, potential to go perm)
đź› Tech Stack:Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow
We’ve partnered with anew AI-first professional services consultancythat’s taking on the Big Four. Currently in stealth mode and gearing up for launch, they’re assembling a founding team of contractors with the view to scale into permanent leadership as the business grows.
They’re now hiring aSenior Data Engineerto build robust, scalable data solutions powering AI, analytics, and future client delivery. If you love creating high-performance data infrastructure from the ground up — this is your chance to help shape the data backbone of a next-gen consultancy.
What You’ll Be Doing:
🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks
🔹 Building clean, governed data layers for ML, analytics, and application use
🔹 Supporting LLM/AI data workflows through structured and unstructured pipeline design
🔹 Contributing to reusable data engineering components across client and internal use cases
🔹 Collaborating with data scientists, architects, and product teams to enable experimentation and delivery
🔹 Mentoring junior engineers and supporting team capability development
What You Need:
âś” 5+ years in data engineering or backend cloud development
âś” Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake)
âś” Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions
âś” Understanding of MLOps tooling like MLflow and integration with AI pipelines
âś” Exposure to data for LLM workflows, unstructured sources, and real-time ingestion
âś” Comfortable operating in an early-stage environment, with minimal structure and high ownership
This is a contract roleoutside IR35,UK-based, and ideal for someone excited to help shape a company from the ground up. Apply today!
