Senior Data Engineer
- 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.
- 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.
- 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.
- 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.
- Telephone with Recruiter or HR
- Technical interview #1 - in English with one of our Data/AI Architect
- Technical case study interview #2 - in French or English with our Architect & Director
- Face-to-face interview with the General Manager France
- Permanent contract
- home-based contract
- Available from immediately
- Lunch vouchers
- Annual bonus
Policy located at Politique de confidentialité / Hitachi Solutions Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
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