Senior Data Engineer

Summary

Join Hitachi Solutions Europe, a global technology consultancy, as a Senior Data Engineer. Design, build, and optimize data pipelines and platforms using Azure, Databricks, Synapse, and Microsoft Fabric. Collaborate with cross-functional teams and clients to deliver robust, scalable solutions. Mentor junior team members and contribute to knowledge sharing. Participate in pre-sales activities and client workshops. Continuously explore new technologies to stay at the forefront of the data engineering field. Hitachi offers competitive compensation, including bonuses, pension and benefits plans, and a comprehensive career development program. Work/life balance is emphasized, with a home-based contract and regular office visits.

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
• Strong communication and client-facing skills ; able to articulate complex ideas clearly to non-technical stakeholders
• Consultative mindset with the ability to assess client needs and propose tailored data solutions
• Experience working in agile and delivery-oriented teams
• Strong problem-solving ability and analytical thinking
• Comfortable working both independently and collaboratively
• Fluency in French and English (both written and verbal) is required

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, including structured, semi-structured, and unstructured data
• 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 and implementation roadmaps
• Mentor junior team members and contribute to internal knowledge sharing
• Participate in pre-sales, proposal writing, and client workshops to shape future engagements
• Continuously explore new tools and technologies to stay at the forefront of the data engineering domain

Preferred Qualifications

• Experience working in a consulting or professional services environment
• Knowledge of Power BI , especially for working with Microsoft Fabric datasets
• Familiarity with Infrastructure-as-Code (IaC) for Azure (e.g., Bicep, Terraform)
• Understanding of real-time data processing with Azure Event Hub, Stream Analytics, or similar
• Exposure to Machine Learning pipelines or supporting Data Science teams is a plus

Benefits

• Competitive compensation packages (incl. bonuses)
• Pension and benefits plans
• Work/Life balance
• Home workers
• Comprehensive career development programme that includes mentoring and training plans
• Lunch vouchers
• Annual bonus