6 of 6 Part-Time Data Engineer Jobs in the City of London

Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: 90,000100,000 Sector: Fintech Were looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector . This role is ideal for someone who began their career as … a Data Analyst and has since transitioned into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. Youll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the … business. This is a hands-on, collaborative role, suited to someone whos confident communicating with data, product, and engineering teams, not a heads-down coder type. Top 4 Core Skills Python workflow automation, data processing, and ETL/ELT development. Snowflake scalable data architecture, performance optimisation, and governance. SQL expert-level query writing and optimisation for analytics More ❯

by Fast Track and published in The Sunday Times each September, celebrates Britain's private mid-market growth companies with the biggest performance. Purpose : We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for the development of data engineering processes within a customer-facing data warehousing … in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. … You will be able to design and develop end-to-end data pipelines to handle complex transformations and large-scale processing. You will have experience improving data reliability and quality through automated testing, monitoring and validation frameworks. This is a great opportunity for you to join a growing and investing product and customer centric business, with the significant More ❯

Data Engineer (Insurance OR Financial Services Background) - London - 75,000-85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary … reviews. Role Overview This position is perfect for someone who takes pride in owning data, code, and outcomes. Youll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure data quality, consistency, and scalability across the board. Partnering with teams across Pricing and … Underwriting, Data Science, and Engineering, youll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain More ❯

Are you a Data Engineer who loves solving real-world data problems and building scalable solutions from the ground up? Were supporting a well-established business in the digital transformation space, and theyre looking for someone to help drive data platform development across multiple business areas and tech environments. Data Engineer 55,000-65,000 per annum London based 2 days a week The role: Youll work closely with technical and non-technical teams, owning data pipelines, improving performance, and getting involved in projects that span cloud, automation, and AI-readiness This role is perfect for someone who enjoys building and optimising data workflows, thrives in a fast … moving environment, and wants to work across a variety of platforms and challenges. What you'll need: Solid hands-on experience with Python and SQL Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools Familiarity with tools like Airflow and version control, GIT. Confident working with structured and unstructured datasets Comfortable contributing to both technical delivery More ❯

AI/Data Engineer (AI) Location: London (Hybrid 1 every other week) up to 600 a day (Inside IR35) The Role As a Data Engineer , youll join our cross-functional Product team of software engineers, ML specialists, domain experts, and product leads. Youll design, build, and deploy AI capabilities that empower intelligence analysts to make faster More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and … collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯