8 of 8 Part-Time Big Data Jobs in the City of London

Senior Data Scientists/Analysts SC/DV Cleared (Military/Veteran-Friendly) Multiple Openings Location: London (Remote & Hybrid options) Employment: Permanent Clearance: Current SC or DV required Make sense of mission-critical data that actually drives decisions. Areti Group is partnering with one of the UKs fastest-growing Series A-funded tech start-ups to hire multiple … Senior Data Scientists & Data Analysts . Youll help deliver secure, high-impact analytics platforms for Defence, National Security, and Government projects. Perfect for ex-Forces engineers (RAF, Army, Navy) or civilians whove worked in high-trust, high-stakes environments and want to use data science at scale . What youll do Build and deploy machine learning models … to solve real-world problems. Design data pipelines, analytics APIs, and decision dashboards used by senior stakeholders. Apply modern data science, AI, and big data techniques to defence and security missions. Deliver secure-by-design, production-grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UKs fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided including Palantir making this a career-defining … role . The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as … a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space by developing robust data models, optimising data flows, and ensuring the accuracy and accessibility of critical information. The position requires close collaboration with both technical and business stakeholders, and is an excellent opportunity to join a team that invests in your … growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark More ❯

Areti is seeking Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start. YOU MUST BE DV OR SC CLEARED You will be working on a number of large Defence and Government projects and be given the … opportunity to lead a number of high-profile programs. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates will … have a skillset to include the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data More ❯

control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform … supporting Front Office Trading across commoditiesby building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake … architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks, and observability tools More ❯

Data Engineer Salary - Up to 60,000 Location - London, UK (Hybrid) We are partnered with an energy industry organisation working on a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for a skilled … data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the opportunity to work alongside an exciting, collaborative team with a clear roadmap for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory … Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as code (Terraform). Strong analytical skills with large structured and unstructured datasets. 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 data More ❯

with opportunities to contribute to both back-end and front-end codebases, and explore AI & LLMs agents and frameworks . You will work closely with the CTO, product, and data teams to deliver robust, scalable solutions. Key Responsibilities As a Technical Lead, you will report to our CTO and help drive the next evolution of our platform, designing architecture … and large language models into our products and workflows. You will design, implement, and maintain scalable back-end services and APIs (primarily in Go, with Python for scripting and data). You lead by example, build fast and help shape our technical roadmap. As a mid-senior software engineer, you will take full lifecycle ownership of end-to-end … University highly desirable. Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. More ❯