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Technical Program Manager on the Data Engineering team driving roadmap, risk, and cross-cutting programs for the firm's data curation capabilities (data modelling, APIs, SQL) and Lakehouse cloud data store, partnering closely with engineers and architects.
Lead the enterprise-scale Customer Data Platform at MTS, managing data architecture, engineering processes (Hadoop, Spark, Kafka, Airflow), data governance, and SLA for batch/streaming delivery to thousands of data consumers.
Lead Easyship's company-wide data and AI strategy, managing a team across analytics, data engineering, and data science, with a focus on modern data architecture, self-serve analytics, and ML-driven product innovation.
Lead data governance and responsible AI for a growing technology group, setting standards and guardrails around data and AI use across Snowflake, Tableau, Tealium and Braze while also overseeing cyber, risk and compliance programs.
Do work that matters: We are building tomorrow’s bank today, which means we need world-class engineers to modernise, secure and scale our technology capabilities. Engineering data is a strategic asset that powers…
The Head of Data Engineering & Factory will lead the vision and industrialization of a data product factory within Novartis's Biomedical Research division. This role focuses on scaling data engineering, implementing automation and AI-ready data products, and managing high-performing engineering teams.
Build and optimize high-performance data pipelines and OLAP systems for risk analytics using Java, Spark, and Hive to process petabytes of financial data.
The Data Steward ensures high-quality, trusted data governance and stewardship across BlackRock’s Technology & Operations, driving data ownership, quality, and usability to support investment, AI, and operational workflows via the firm’s Data Marketplace.
Oversee strategic programmes and data governance for regulatory operations in healthcare, translating policy into operational systems and processes.
The VP of Data Engineering for People Analytics will design and maintain an enterprise-grade data platform and lakehouse architecture to support workforce analytics and AI-driven insights. The role involves building scalable data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to ensure reliable, AI-ready workforce data.
This senior individual contributor role focuses on designing and building data pipelines and operational frameworks for Oaktree's credit business. The role involves hands-on development of ETL/ELT processes, data quality monitoring, and system performance optimization using Azure cloud technologies.
This vacancy is open to all Civil Service employees and employees of accredited non-departmental public bodies (NDPBs) who were appointed on merit following a fair and open competition; or were appointed to a permanent…
A career as a Chief Developer in Data Engineering within the Data Strategy team in the Business Performance, Evolution and Processes sector at National Bank means acting as an analytical data specialist. Leveraging…
A career as a data engineering developer on the data team at National Bank means serving as a data solutions design and development specialist. This position allows you to have a positive impact on our organisation…
The Vice President of Data & Data Engineering will lead the data strategy, architecture, and engineering team at Picton Mahoney Asset Management. This role focuses on building a modern, scalable data platform using Databricks and Snowflake to support investment analytics, AI initiatives, and enterprise decision-making.
Leads the Data Engineering function, owning strategy, architecture, and delivery across a Microsoft Fabric-led data estate. Requires expertise in Microsoft Fabric, Delta Lake, medallion patterns, and enterprise data integration with platforms like Salesforce and Workday.
Oversee enterprise reference data and master data management, ensuring data quality, governance, and regulatory compliance for a global financial services firm.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI data platform, enabling reliable analytics and AI use cases at a global investment bank.
The VP, Data Platform & AI Lakehouse Engineer will design, build, and maintain scalable data pipelines and curated datasets to support analytics and AI initiatives at Goldman Sachs. This role involves managing the full data lifecycle, including ingestion, transformation, and optimization to ensure high-quality data products.
Lead Solution Architect for a Databricks practice, owning end-to-end data platform architecture, leading presales with C-level stakeholders, and driving large-scale cloud migration programs across APAC using Databricks, Spark, and Delta Lake on Azure/AWS/GCP.
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