Data Engineer, English

November 27

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Capco

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Consulting • Finance • Energy

Capco is a global technology and management consultancy specializing in driving transformation across the financial services and energy industries. It focuses on solving complex challenges and delivering positive change for customers, the industry, and communities. Capco combines deep industry expertise with innovative technology solutions to support sectors like banking and payments, capital markets, insurance, wealth and asset management, and energy. As part of its commitment to excellence, Capco has been recognized as the Best European Consultancy in Data Management, reflecting its leadership in this field.

1001 - 5000 employees

Founded 1998

💸 Finance

⚡ Energy

💰 $80M Venture Round on 2000-05

📋 Description

• Communicate with technical developers and business managers, earning the respect and trust of leaders and staff. • Implement and actively incorporate Data Foundation initiatives in support of key business programs, advising on technology and leveraging industry-standard tools. • Coordinate the change management, incident management, and problem management processes. • Ensure traceability of requirements from data through testing and scope changes to training and transition. • Drive implementation efficiency and effectiveness in pilot and future projects to minimize costs, speed up deployment, and maximize value delivery.

🎯 Requirements

• Experience building ETL/data warehouse processes using Azure services, especially Azure Data Factory and Databricks. • Hands-on proficiency with Azure Storage, Azure Synapse Analytics, Azure Data Lake, Azure Analysis Services, and Azure Cosmos DB. • Programming skills in Python, Scala, and Spark SQL, plus the ability to use PowerShell or Azure CLI for automation. • Strong knowledge of SQL, data sources, and integration between Microsoft services and third-party platforms. • Design, implement, and maintain scalable data pipelines for ingestion, processing, and transformation on Azure. • Ability to optimize, monitor, and troubleshoot data pipelines for performance, availability, and cost-efficiency. • Experience with Azure DevOps for CI/CD and automation, including scripting and deployment tools. • Prior experience designing integrated, high-performance data pipelines across multiple data sources for enterprise environments. • Prior experience developing scalable, reusable frameworks for ingestion and enrichment of datasets in big data projects. • Project management skills, stakeholder engagement, and project execution to manage risks and ensure timely, high-quality deliveries. • Advanced English.

🏖️ Benefits

• Inclusive culture • Diversity in all its expressions • Opportunities for professional development