Data Engineer

I am looking for a Data Engineer with strong Databricks, AWS, Azure, and stakeholder communication skills to deliver a high‑impact data engineering programme. This is a 6‑month contract, fully remote, and suited to someone who thrives in fast‑paced, multi‑cloud environments.

Key Responsibilities

• Design & build pipelines using Databricks, Python, SQL, and cloud‑native services across AWS and Azure

• Develop scalable ETL/ELT frameworks and optimise performance across distributed compute

• Implement Lakehouse best practice including Delta Lake, medallion architecture, and governance patterns

• Collaborate with senior stakeholders to translate business requirements into technical delivery

• Ensure platform reliability through monitoring, optimisation, and CI/CD deployment standards

🔧 Essential Skills & Experience

• Databricks engineering – strong hands‑on experience

• Azure data stack – Data Lake, ADF, Functions, DevOps

• AWS data services – Glue, Lambda, S3, EMR (or equivalent)

• Python & SQL – production‑grade coding

• CI/CD – Git‑based workflows, automated deployments

• Stakeholder communication – able to operate autonomously and influence senior teams

The ideal candidate is someone who is confident navigating multi‑cloud environments, can own delivery end‑to‑end, and communicates clearly with both technical and non‑technical stakeholders. You want someone who can drop in, stabilise, optimise, and accelerate delivery from day one. Please apply ASAP as I have slots this week!