Senior Data Engineer

Overview

Job Title: Senior Data Engineer (Contract) Salary Range: £500–£550 per day (Outside IR35) Location / Working model: London | Hybrid (3 days on-site) Join a forward-thinking data environment where innovation meets scale. You’ll take ownership of designing and delivering high-performing data pipelines that enable smarter decisions across the organization. This contract offers autonomy, modern tools, and a platform to make real impact, ideal for a seasoned engineer who enjoys solving end-to-end challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers to ensure reliable data delivery – Champion best practices for governance, lineage, and performance – Enhance data observability and automate key workflows for efficiency You Will Need – Advanced hands-on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub, Composer or similar) – Proven background in full-lifecycle data engineering and automation – Strong understanding of CI/CD and infrastructure-as-code for data systems – Experience with both batch and streaming data – Excellent communication and problem-solving skills in agile environments Why You’ll Love It – Outside IR35, £500–£550 per day – Hybrid working: 3 days per week in central London – Access to a cutting-edge GCP environment – Real ownership over technical design and delivery – Inclusive, collaborative culture that values technical excellence

Responsibilities

• Design and deliver scalable ETL and ELT pipelines using SQL and Python.
• Build and optimize data architectures within Google Cloud Platform (GCP).
• Partner with analysts, product owners, and developers to ensure reliable data delivery.
• Champion best practices for data governance, lineage, and performance.
• Enhance data observability and automate key workflows.

Requirements

• Advanced hands-on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub, Composer or similar).
• Proven background in full-lifecycle data engineering and automation.
• Strong understanding of CI/CD and infrastructure-as-code for data systems.
• Experience with both batch and streaming data.
• Excellent communication and problem-solving skills in agile environments.