- Company Name
- DATATORII
- Job Title
- Data Engineer F/H
- Job Description
-
**Job Title:** Data Engineer (F/H)
**Role Summary:**
Design, develop, and industrialize data solutions on Microsoft Azure, Microsoft Fabric, and Azure Databricks. Collaborate with multidisciplinary teams to deliver high‑value data projects, support project scoping, and contribute to innovative BI and data‑management offerings.
**Expectations:**
- Work effectively in cross‑functional teams (project managers, architects, analysts).
- Communicate clearly and share knowledge with peers.
- Demonstrate rigor, organization, proactivity, and strong analytical abilities.
- Continuously learn and evolve within a collaborative environment.
**Key Responsibilities:**
- Design and implement Azure‑based data pipelines (ADF, Synapse), Fabric pipelines/dataflows, and Databricks Lakehouse solutions.
- Develop ETL/ELT processes using PySpark, SparkSQL, Python, SQL, Scala, and DBT; implement CI/CD, orchestration, data governance, architecture, and security.
- Participate in project scoping: gather requirements, model data, define technical solutions, and support client’s functional ownership.
- Contribute to data project management and advise on technology directions for clients.
- Assist in creating and promoting innovative offerings around UX‑BI, self‑service BI, data engineering, and data management.
- Draft and present customized proposals to meet client needs.
- Provide ongoing training and knowledge sharing through internal learning programs.
**Required Skills:**
- Strong expertise in Microsoft Azure (ADF, SQL Database, Synapse), Microsoft Fabric (Pipeline, Dataflow, Lakehouse, Warehouse), and Azure Databricks (Unity Catalog, Lakehouse, Workflows).
- Proficient in SQL and Python; solid experience with Apache Spark (PySpark, SparkSQL) and optionally Scala.
- Experience with DBT, CI/CD pipelines, and data orchestration tools.
- Knowledge of data architecture, data management, and data security best practices.
- Project management abilities within data engineering contexts.
- Excellent communication and teamwork skills.
**Required Education & Certifications:**
- Master’s degree (Bac + 5) in Engineering, Mathematics, Statistics, Computer Science, or a related field.
- Relevant certifications in Azure data services or Databricks are advantageous but not mandatory.