Arrows

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with strong SQL, ETL, and data warehousing experience, based in Osterley, London. The 6-month contract pays £500/day, requiring immediate availability and expertise in DBT and BigQuery or Snowflake.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
500
-
🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Datasets #AI (Artificial Intelligence) #SQL (Structured Query Language) #Data Engineering #GCP (Google Cloud Platform) #DataOps #Automation #Snowflake #AWS (Amazon Web Services) #Scala #Python #dbt (data build tool) #BigQuery
Role description
Senior Data Engineer | Global Streaming Technology 📍 Osterley, London (2 days onsite) 💰 £500/day Inside IR35 📅 6-month initial contract ⚡ Immediate / ASAP start I’m currently supporting a major global streaming and media technology organisation on a new Senior Data Engineer contract within their Data Platform function. This is a fantastic opportunity to join one of the engineering teams behind streaming products used by tens of millions of customers globally. What they’re looking for: This is not a role for someone who wants to be a small part of the process. They need a contractor who can hit the ground running, own delivery, communicate clearly, and bring strong real-world experience. Essential skills: • Strong SQL • Proven ETL pipeline experience • Data warehousing experience • Dimensional / data modelling • DBT • Experience with BigQuery (preferred) or Snowflake • Exposure to AWS and/or GCP • Strong stakeholder communication skills Nice to have: • Python • DataOps / CI/CD exposure • Iceberg / lakehouse knowledge • AI tooling exposure for automation and engineering productivity What you’ll be doing: • Designing and supporting scalable data models and distributed ETL pipelines • Working with large-scale streaming and platform datasets • Building and optimising transformations in BigQuery, SQL and DBT • Collaborating with multiple engineering and business teams • Improving DataOps and platform best practices • Supporting the onboarding of new data feeds and ensuring alignment with governance and architecture standards • Contributing to automation initiatives, including practical use of AI tools within data workflows This role is highly scenario and delivery focused. In interviews, the team will want to understand: • What you’ve built over the last 2 years • What you personally owned • How you approached ETL, warehousing and modelling challenges • Your experience with BigQuery (ideal) / Snowflake / DBT • How you’ve improved engineering practices or automation Interview process • Stage 1: 30-minute conversation with the Head of Data and a Senior Data Engineer • Stage 2: Technical / scenario-based discussion If you’re a Senior Data Engineer with strong SQL, ETL, data warehousing, modelling and DBT experience, and you’re looking for a contract where you can genuinely make an impact in a high-scale streaming and data platform environment, I’d be keen to speak.