Senior Data Engineer, English

🕒 June 8

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Capco

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

💸 Finance

⚡ Energy

💰 $80M Venture Round on 2000-05

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.

📋 Description

• Communicate with technical developers and business managers, earning the respect and trust of leaders and staff. • Implement and actively embed Data Foundation initiatives to support core business programs, advising on technology and leveraging leading, market-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 projects and future initiatives to minimize costs, accelerate deployment, and maximize value delivery.

🎯 Requirements

• Experience building ETL/data warehouse processes using Azure services, particularly 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, and the ability to use PowerShell or the Azure CLI for automation. • Strong SQL knowledge, data source understanding, and experience integrating Microsoft services with 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-effectiveness. • Experience with Azure DevOps for CI/CD and automation, including scripting and deployment tools. • Previous experience designing integrated, high-performance data pipelines across multiple data sources in enterprise environments. • Previous experience developing scalable, reusable frameworks for data ingestion and enrichment in big data projects. • Project management, stakeholder engagement, and delivery skills to manage risk and ensure timely, quality outcomes. • Advanced English (professional working proficiency)

🏖️ Benefits

• We foster an inclusive culture • We value diversity in all its forms