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Design and deploy Palantir Foundry data pipelines and Ontology models to turn raw data into trusted, actionable insights for UK Defence & Security clients.
Lead a team building and scaling an enterprise Lakehouse data platform using Microsoft Fabric, Spark, PySpark, and SparkSQL for analytics and AI workloads.
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Build a new data ingestion platform and ETL pipelines using OO Python for a trading firm, focusing on finance data processing.
Design and maintain cloud-based data platforms for a construction firm, building pipelines with Python/PySpark and SQL to feed analytics and reporting systems.
Build and maintain cloud-based data pipelines and infrastructure in Azure to ingest, store, and process large volumes of data for government audits, enabling reliable data access and insights.
A Data/Software Engineer at a quant hedge fund works on data ingestion, data management, application development, and extending their research data platform to support front office operations.
Build and own the data pipeline for a hedge-fund’s Industrials portfolio, cleaning and transforming market data, automating ETL/ELT, and enabling analysts with Python, SQL, and AWS.
Build and maintain cloud and IoT platforms that connect industrial devices to Azure, automate deployments, and lay groundwork for MLOps and ML model lifecycle management.
Build and migrate data pipelines on Databricks Lakehouse, converting legacy SQL views to Declarative Pipelines and adding reconciliation checks.
Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python to transform enterprise data into clean, analytics-ready datasets.
Designs and maintains secure, scalable data platforms for intelligence applications, builds data ingestion workflows, and supports machine learning integrations within a national security context.
Develop and maintain APIs and systems for secure archiving and distribution of human genetic data using Java/Spring Boot and Kubernetes, ensuring FAIR data principles and high-volume encrypted data streaming.
Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Design, build, and optimize scalable, production-grade data ingestion, transformation,…
Builds and optimizes TigerGraph’s distributed graph database and analytics engine, focusing on scalability, low-latency queries, and ML integration.
Lead a team to design and build scalable ETL pipelines in Databricks, implementing medallion architecture and dimensional models to enable enterprise analytics and reporting.
At OZ we are looking for a Lead Data Engineer who will: · Serve as the technical lead for the project—owning solution design decisions, guiding implementation standards, and mentoring other engineers through coaching,…
Build and deploy AI agents that detect threats and automate security workflows for Fortune 500 clients, integrating cutting-edge models into complex enterprise environments.
Designs and builds Microsoft Power Platform solutions—Power Apps, Power Automate, Dataverse, and Power BI—to automate data workflows and deliver business intelligence dashboards for investment decision support.
Build and maintain data pipelines and full-stack apps using Azure services like Data Lake, Functions, and DevOps.
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