Contract Senior Data Engineer

Location: London, Hybrid

Rate: Up to £600 per day

Contract: 6 months (Outside IR35, potential to go perm)

Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow

We’ve partnered with a new AI-first professional services consultancy that’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 a Senior Data Engineer to 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:

✔ 5+ years in data engineering or backend cloud development

✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake)

✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions

✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines

✔ Exposure to data for LLM workflows, unstructured sources, and real-time ingestion

✔ Comfortable operating in an early-stage environment, with minimal structure and high ownership

This is a contract role outside IR35 , UK-based , and ideal for someone excited to help shape a company from the ground up. Apply today!