Oscar

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 6-month contract in London, paying £450-550 p/day. Key skills include MSSQL Server, ETL/ELT pipelines, and AWS cloud infrastructure. Advanced SQL and dimensional data modeling experience are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date
October 17, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Databases #Azure Analysis Services #SSIS (SQL Server Integration Services) #Data Engineering #Azure #Airflow #Scala #SQL (Structured Query Language) #Semantic Models #PostgreSQL #dbt (data build tool) #BI (Business Intelligence) #S3 (Amazon Simple Storage Service) #SQL Server #Database Administration #Cloud #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #SSAS (SQL Server Analysis Services) #Microsoft Power BI
Role description
Data Engineer | 6 Month Contract | Outside IR35 | London We’re looking for an experienced Data Engineer to join a leading technology-driven business on an initial 6 month contract. This is a hands-on, onsite position where you’ll be responsible for designing, building, and maintaining scalable data models, pipelines, and cloud infrastructure that power business-critical insights. Location: London (on-site) Contract: 6 Months (very likely extension) Rate: £450-550 p/day Start date: ASAP Required Skills: • Strong expertise with MSSQL Server and OLAP/Tabular models (SSAS Tabular, Azure Analysis Services, or Power BI Semantic Models). • Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). • Proven experience building ETL/ELT pipelines using tools such as SSIS, dbt, or Airflow. • Solid understanding of database administration, tuning, and performance optimisation across MSSQL and PostgreSQL. Key Responsibilities: • Design and maintain data models that meet business requirements, ensuring scalability, consistency, and accuracy. • Build and manage ETL/ELT pipelines to integrate data from S3 and various sources into the analytical layer. • Administer and optimise MSSQL Server and PostgreSQL databases for performance and reliability. • Collaborate with internal teams to improve data availability, reliability, and performance across systems. • Design and maintain secure, scalable AWS cloud infrastructure supporting analytical workloads. • Create and maintain dimensional and semantic data models for Power BI and Excel integration. • Evaluate new data modelling tools and techniques to continuously improve efficiency and scalability. If you're interested, apply now for immediate consideration.