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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.
Staff Data Engineer modernizes enterprise-scale data pipelines using PySpark, AWS Glue, and Airflow, while setting engineering standards and coaching teams on cloud-native architectures.
Lead modernization of large-scale data pipelines using PySpark, Python, AWS Glue, Spark, and Airflow in a regulated environment.
Builds and maintains data infrastructure for a European Gas trading desk using Python, AWS, ETL, and Airflow to support systematic trading and market data pipelines.
# Data Engineer (Python Enterprise Developer) at N Consulting LtdWork mode: Hybrid (with 4 days a week at London, Canary Wharf) Contract duration: Long term Location: London --------------------------------------- JOB…
Build and maintain data pipelines and platforms for programmatic advertising, using Python, SQL, Airflow, Kafka, and Snowflake to process and serve campaign data at scale.
Build research infrastructure and data platforms for a European Gas trading desk using Python, AWS, ETL, and Airflow.
Staff Data Engineer modernizing large-scale cloud data pipelines using PySpark, AWS Glue, and AI-assisted tools to set engineering standards and drive scalable data solutions.
Build and secure a modern Azure-based data platform with Databricks, ETL/ELT pipelines, and governance for regulated environments.
Designs and builds scalable data pipelines on Azure using Python, Airflow, and related services to enable reliable data workflows.
Lead a 5–7 person team to design, build, and scale low-latency data infrastructure for a high-frequency trading firm, using Python, Java, Kafka, and Delta Lake/Iceberg.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
A Data Test Engineer ensures data integrity and quality for lending microservices and business intelligence reporting, using tools like RestAssured, JavaScript automation, and cloud-native services (e.g., GCP). The role bridges technical and business teams to validate APIs, systems, and end-to-end workflows while improving testing processes and team productivity.
Primeforge is currently placing high-performing engineering talent into US enterprise delivery teams. We are building a pipeline of mid-level Data Engineers who can contribute inside client sprint teams from day one.…
Designs and implements cloud-based data architectures (AWS, Azure, GCP) and real-time pipelines (Kafka, Snowflake, Databricks) to align client business goals with modern data solutions.
Build and scale Cogent’s data platform to ingest, normalize, and transform enterprise security data into a knowledge base for AI-driven cybersecurity workflows.
Build and maintain core backend systems for Astro, Astronomer’s data orchestration platform, using Go, Kubernetes, and SQL; focus on APIs, authentication, billing, and reliability.
Design and build core data pipelines and models that power analytics and AI-driven meeting insights at a fast-growing AI SaaS company.
About Bold Business Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver…
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