Queen Square Recruitment

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 6-month contract, paying £425 per day, hybrid in London or Edinburgh. Key skills include AWS, ETL/ELT, Python, SQL, and experience in financial services is advantageous.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
425
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🗓️ - Date
June 6, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Scala #Data Architecture #Security #Cloud #Automation #Data Engineering #S3 (Amazon Simple Storage Service) #Data Pipeline #Programming #"ETL (Extract #Transform #Load)" #DevOps #Batch #Data Quality #DataOps #Snowflake #Python #Data Ingestion #Data Processing #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Data Orchestration #SQL (Structured Query Language) #Spark (Apache Spark)
Role description
Data Engineer Location: London or Edinburgh (Hybrid – 2 to 3 days per week onsite) Contract: 6 Months Rate: £425 per day (Inside IR35) The Opportunity We are seeking experienced Data Engineers to join a major transformation programme within a leading financial services organisation. This is an excellent opportunity to work on large-scale cloud data platforms, delivering modern data solutions that support critical business functions. You will play a key role in designing, developing, and maintaining scalable data pipelines and data products, leveraging cloud-native technologies and best practices across engineering, automation, and DataOps. What You'll Be Doing • Design, develop, and maintain robust data ingestion, transformation, and consumption pipelines • Build and optimise ETL/ELT solutions using cloud-native technologies • Develop batch and real-time data processing capabilities • Integrate data from multiple enterprise and cloud-based data sources • Collaborate with data architects, data modellers, analysts, and business stakeholders • Ensure data quality, governance, security, and platform performance standards are met • Contribute to CI/CD implementation, automation, and DataOps best practices • Support the ongoing enhancement of data platform capabilities and architecture • Troubleshoot and resolve complex data engineering challenges • Document solutions and contribute to engineering standards and best practices Required Experience • Strong experience building and supporting data pipelines within AWS environments • Expertise in ETL/ELT development and data orchestration frameworks • Strong programming skills in Python and SQL • Experience working with Spark and distributed data processing technologies • Hands-on experience with AWS services including S3 and Glue • Experience working with Kafka or similar event-streaming technologies • Knowledge of Snowflake and modern cloud data warehousing solutions • Understanding of DataOps, CI/CD, automation, and DevOps principles • Experience working within large-scale enterprise data platforms • Financial services or banking experience is advantageous Why Apply? • Join a high-profile transformation programme within financial services • Work alongside experienced data professionals on modern cloud technologies • Gain exposure to large-scale data engineering challenges • Collaborate closely with business and technical stakeholders • Contribute to solutions that deliver measurable business impact To learn more about this opportunity, please apply with your latest CV.