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Build and optimize cloud-based data pipelines and warehouses for analytics and ML, using AWS, Snowflake, and Python to power transformation programs for global clients.
Lead the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures in code while mentoring teams to build scalable, secure, and cost-efficient solutions for marketing and advertising use cases.
DevOps engineer builds and maintains CI/CD pipelines, automates data pipelines, and manages hybrid DWH infrastructure using Kubernetes, Terraform, and Arenadata tools for a bank’s data warehouse.
Junta-te à Axians, onde a inovação cresce com base na confiança e na autonomia, e onde cada desafio é uma oportunidade para criar tecnologia com impacto. DATA ENGINEER (DATA GOVERNANCE) O que estamos à procura…
Technical Data Steward managing HR data integrity, governance, and quality for a financial enterprise’s Azure-based HR Data Warehouse, ensuring secure, accurate data for analytics and reporting.
Build Java microservices and Airflow pipelines for MSCI’s data catalog and AI-ready marketplace, integrating Collibra for governance and MCP tools for automated data discovery.
Leads enterprise data governance at Coca-Cola, establishing frameworks for data quality, metadata, and stewardship to support analytics, AI, and digital products across the company.
Designs and implements enterprise-scale data models, warehouses, and cloud pipelines to support analytics and business intelligence, using SQL, Azure, and ETL tools.
Lead the strategy and delivery of Coca-Cola’s enterprise data governance platform, unifying metadata, lineage, quality, and AI-driven insights to enable trusted, scalable data across finance, marketing, HR, and supply chain domains.
Manager, Azure Developer Location: US - GA - Atlanta Time Type: Full time Job Description Job Description Summary: The Manager, Azure Developer, is responsible for designing, building, and maintaining robust data…
Design and advise on Microsoft-based Data & AI solutions, guiding customers through analytics, AI, and data-platform modernization using Azure, Fabric, and Power BI.
Designs and governs privacy controls for AI systems, ensuring GDPR and EU AI Act compliance by leading DPIAs, mapping data flows, and enforcing data governance across engineering and legal teams.
Lead the architecture and long-term roadmap for enterprise-scale ML/AI and generative AI systems, defining platforms for building, deploying, and monitoring AI solutions while mentoring engineers and setting engineering standards.
Lead the architecture and scaling of a healthcare-focused enterprise data platform using Databricks, AWS, Terraform, and Python, ensuring governance, security, and high-quality data products.
Build and maintain an AI-native data platform that transforms raw enterprise data into trusted, semantically meaningful assets using orchestration, governance, and AI-assisted development tools.
Build and optimize a production-scale data platform for AI products using Snowflake, dbt, Airflow, SQL, and Python to improve performance, reliability, and cost efficiency.
Own the lifecycle of a data-aware orchestration product, working with dbt, Airbyte, Snowflake, and Airflow to make pipelines easier to build, monitor, and scale for modern data teams.
Senior Data Engineer builds scalable BigQuery pipelines and data models to harmonize financial and operational data for a global e-commerce platform, using Airflow, SQL ELT, and data governance tools.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Configure and administer Collibra for capital-markets clients, defining data governance workflows, quality rules, and lineage while aligning with regulations like BCBS 239 and MiFID II.
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