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Builds and automates data solutions to solve organizational challenges, modernizing storage, improving data quality, and designing scalable workflows for mission-critical needs.
End Date Thursday 03 September 2026 Salary Range £0 - £0 We support flexible working – click here for more information on flexible working options Flexible Working Options Flexibility in when hours are worked, Hybrid…
The Data Architect will define and govern end-to-end data architecture for enterprise data products, ensuring they are scalable, secure, and compliant with regulatory standards. The role involves designing data ingestion, storage, and consumption patterns while collaborating with stakeholders to balance technical risks with business delivery.
Leads data remediation and governance for regulatory reporting (e.g., FR Y-14) in a banking environment, bridging business needs with technical solutions. Focuses on data quality, stakeholder collaboration, and Agile workflows to ensure compliance and operational resilience.
Build and maintain backend services for RBC’s metadata management platform using Python, MongoDB, and RESTful APIs to support data governance and compliance in financial services.
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
The Cloud Engineer will manage and optimize cloud-based data storage and processing solutions using AWS, Databricks, and Informatica IDMC. The role involves designing ETL/ELT pipelines and ensuring data quality and integration across various sources.
The Principal Data Engineer leads enterprise data governance, master data management (MDM), and scalable data platform architecture initiatives. The role involves utilizing AI/ML, cloud-native technologies, and distributed computing to support business-aligned data modeling and analytics.
Part-time/temporary Bioinformatics Data Scientist designing and maintaining pipelines for multi-omics data (RNA-seq, proteomics, flow cytometry), building dashboards, and collaborating with wet-lab and clinical teams using Python, pipeline frameworks, and cloud platforms.
Designs scalable, secure cloud-based data platforms for clients, focusing on AWS, while translating business needs into technical solutions for analytics, AI, and data pipelines.
Lead Data Engineer at JPMorgan Chase builds and maintains scalable data pipelines, architectures, and AI/analytics solutions for Treasury & Corporate Risk Management, ensuring data quality, security, and governance while driving innovation through AI-assisted tools and cross-functional collaboration.
Data Engineer building and maintaining data pipelines and analytics solutions for AI initiatives in Corporate Technology supporting CIO, Treasury & Corporate Risk Management, using Python, SQL, Spark, and Databricks.
The Principal Data Engineer will work on a major financial services transformation programme to deliver a modern, cloud-based data platform. This is a contract role based in London.
Lead a team building enterprise-scale data pipelines and lakehouse architectures on Databricks or Microsoft Fabric to power analytics and AI for a federal government department.
Build and operate data pipelines, workflow orchestration, and warehouse modeling for a climate-tech company using Python, SQL, and tools like Airflow/Dagster/Prefect.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Builds and maintains a centralized knowledge management system in SharePoint, organizing business processes and documents to improve efficiency, support AI initiatives, and enable employee access to critical information.
Lead Data Engineer designing and maintaining cloud-based data platforms and pipelines (SQL, Python, Databricks, Snowflake) that support underwriting, pricing, and risk analytics for a motor insurer, while mentoring a data engineering team.
Designs and maintains scalable data pipelines for motor insurance underwriting, pricing, and risk analytics, integrating internal/external data (policy, claims, telematics) to drive data-driven decisions and improve portfolio performance.
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