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Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
Lead a team building and maintaining scalable data pipelines using AWS (S3, Athena, Redshift, Glue) and Python/Java to integrate diverse data sources for government analytics and reporting.
Build and maintain AWS-based data pipelines that parse telecom network metrics, convert to Parquet/Iceberg, and stream into Redshift/ClickHouse using PySpark, Lambda, MSK, and Step Functions.
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.
Senior Python developer building low-latency data products for a London-based front-office analytics platform serving energy trading and financial markets.
Salary: $117734 - $146513 p.a. Data Engineer (x2) Phase one of a multi-year programme through to November 2026 Work with cutting edge technology and IT professionals Appointing salary range - $117,734 - $146,513…
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.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines using PySpark, AWS Glue, EMR, Lambda, and Redshift to process large-scale data in hybrid Hadoop/AWS environments.
Build and maintain data pipelines, warehouses, and lakes for a large bank, ensuring accurate, accessible, and secure data processing and analysis.
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.
Industry/Sector Not Applicable Specialism Product Innovation Management Level Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our…
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Lead a team building and optimizing scalable ML training platforms on AWS/Kubernetes, focusing on GPU workloads, performance tuning, and Gen AI/LLM pipelines while enforcing enterprise governance and security standards.
Drive adoption of NVIDIA’s GPU-accelerated data processing stack by integrating libraries like cuDF and RAPIDS into third-party query engines and OLAP databases, shaping cross-ecosystem acceleration strategies.
Senior analyst building and maintaining AI-enabled investment data pipelines; daily work blends SQL/Python analysis, Snowflake data-warehouse queries, and Copilot-assisted development to improve data quality and reporting for fixed income, equities, and derivatives.
Data Warehouse Engineer Location: Remote Department: Information Technology Exciting Opportunities at Maverick Payments ! Join our fast-paced, growing company and further your career with Maverick Payments, where you…
Build data-driven supply-chain models and optimization tools using Python/R, SAP data, and Power BI to improve inventory planning and reduce costs.
Leads the architecture and scaling of a healthcare data platform that ingests and processes clinical data for millions of patients, using cloud-native tools and modern data stacks.
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