Senior Data Engineer

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August 11

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Hitachi Solutions America

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Enterprise • Artificial Intelligence • Cloud Platform

Hitachi Solutions America is a global cloud-services and systems integrator that specializes in empowering customers through Microsoft solutions and services. The company focuses on advisory services, application innovation, artificial intelligence, business applications, cloud platforms, data and analytics, managed services, and security and governance. With a strong emphasis on industry-specific solutions, it caters to sectors such as construction, retail, energy, financial services, healthcare, insurance, manufacturing, and more. Hitachi Solutions America aims to connect business value to technology through a human-centered experience and is recognized for its expertise in low-code application development and intelligent automation. It is a 100% Microsoft platform-focused organization, earning numerous cloud solution designations and specializations, which demonstrates its deep understanding of industry challenges and outcomes.

501 - 1000 employees

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Senior Data Engineer role at Hitachi Solutions Europe, a global Digital, Data and Technology consultancy. • Design, build, and optimize end-to-end data pipelines and platforms in the cloud using Spark, Azure Synapse Analytics, Databricks, and Microsoft Fabric. • Collaborate with architects, data scientists, and business stakeholders to ensure solutions are robust, scalable, and business-aligned. • Key Responsibilities: Design and implement modern data platform solutions using Azure, Databricks, Synapse, and Microsoft Fabric; Build scalable, high-performance data pipelines using Spark; Implement data ingestion from various sources; Define and implement data models and transformation logic to support analytics and reporting use cases; Develop and manage data integration and orchestration using Azure Data Factory or Microsoft Fabric Data Pipelines; Ensure data quality, integrity, lineage, and governance using best practices and Azure-native services; Collaborate with architects and clients to define solution architecture; Mentor junior team members; Participate in pre-sales, proposal writing, and client workshops; Continuously explore new tools and technologies to stay at the forefront of the data engineering domain. • Qualifications: Strong Spark, Delta Lake, Databricks; Fluent in French/English; etc

🎯 Requirements

• Strong expertise with Apache Spark development, performance tuning and optimisation (PySpark preferred; Scala or SQL also relevant). • Hands-on experience in Microsoft Fabric, particularly with Lakehouses, Data Pipelines, and Notebooks. • Deep knowledge of Databricks, including development workflows, Delta Lake, and Unity Catalog. • Experience with Azure Data Factory and/or Fabric Data Factory for orchestration and data movement. • Solid understanding of Data Lakehouse architecture, Data Modeling (Dimensional/Star Schema), and ETL/ELT best practices. • Familiarity with CI/CD for data solutions using Azure DevOps. • Understanding of data governance, security, and RBAC within the Azure ecosystem. • Fluency in French and English (both written and verbal) is required.

🏖️ Benefits

• Lunch vouchers • Annual bonus • Pension and benefits plans