- Company Name
- Letsignit
- Job Title
- Data Engineer F/H
- Job Description
-
Job title: Data Engineer (F/H)
Role Summary: Design and deploy a modern data architecture on Microsoft Fabric, migrate existing no‑code, SQL, and Python solutions, build and maintain scalable pipelines, and collaborate with business, analytics, and IT teams to ensure end‑to‑end data consistency.
Expactations: Take ownership from development to production, work autonomously, communicate complex concepts clearly, drive continuous improvement, and champion the migration of legacy stacks to a performance‑optimized Fabric environment.
Key Responsibilities
- Modernize the data stack by moving legacy solutions to Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, Dataflows).
- Create, manage, and optimize data pipelines and transformations using advanced SQL and Python.
- Collaborate daily with business users, data analysts, and IT to align source data with analytics dashboards.
- Document best practices, share knowledge, and mentor team members.
- Own the deployment lifecycle (“build it, run it”), ensuring reliable production releases.
- Continuously improve data processes, architecture, and observability (monitoring of pipelines).
Required Skills
- Proven experience in data engineering, pipeline development, and performance tuning.
- Advanced SQL and Python proficiency.
- Deep knowledge of Microsoft Fabric components (Lakehouse, Data Warehouse, Data Factory, Dataflows).
- Agile working style and ability to collaborate across heterogeneous teams.
- Strong communication skills and aptitude for explaining technical concepts to non‑technical stakeholders.
- Understanding of pipeline observability and monitoring.
- Bonus: Power BI, Infrastructure‑as‑Code (Terraform, ARM templates), interest in observability tools.
Required Education & Certifications
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Systems, or a related field.
- Relevant certifications (e.g., Microsoft Fabric, SQL, Python, Power BI, Terraform) are desirable but not mandatory.