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Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain cloud-based data pipelines and warehouses using Azure Databricks, Snowflake, and AWS services to enable AI/ML-driven insights for enterprise clients.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Design and maintain cloud data pipelines on AWS, build ETL/ELT workflows, and optimize Snowflake data warehouses using PySpark, dbt, and SQL for analytics in regulated industries.
Build and maintain data pipelines and ETL workflows in Python for an ad-tech agency, using Airflow, Kafka, Snowflake, and BigQuery.
Builds and maintains core financial systems (Athena, Quartz, SecDB) using Python or Java, focusing on fixed-income trading and relational database design.
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
Own and evolve the AWS-based cloud infrastructure for a HIPAA-compliant healthcare document platform, automating deployments, securing PHI, and scaling microservices while partnering with engineering on reliability and compliance.
Job Description Athena is Sophia Space's first hardware mission to space — a complex, fast-moving program where business discipline is what turns ambition into on-schedule, on-budget delivery. As Business Manager…
Lead the build and maintenance of a trade execution platform using Python/Java, Kafka, AWS, Databricks, and SQL/NoSQL, collaborating with front-office teams to deliver mission-critical software.
Build and maintain scalable data pipelines and warehousing solutions using Databricks, Spark, and AWS tools to support HR analytics and business intelligence at a global financial firm.
Design and build serverless AWS data pipelines for real-time lottery analytics, integrating marketing tech and gaming platforms using Python, Lambda, Kinesis, and DynamoDB.
Build and maintain AWS-based data pipelines and AI-driven data products for a large bank, using Python, PySpark, and cloud-native tools to power analytics and customer experiences.
Build and optimize AWS QuickSight dashboards, implement row-level security, and model data in SQL for BI reporting and KPI tracking.
Lead the design and build of scalable data pipelines and ETL processes for a bank, using Spark, Flink, and AWS to deliver clean, real-time data for analytics and AI-driven insights.
Build and scale cloud-native data platforms and pipelines for a major bank, enabling AI-driven customer experiences, CRM, and analytics using AWS, Snowflake, Python, and Airflow.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
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