Full‑Stack Data Engineer

About the role

We are looking for a Full‑Stack Data Engineer who will own the entire data lifecycle, from ingestion and transformation to modeling, KPI logic, and dashboard delivery. The role blends strong backend engineering with business‑focused analytics, enabling teams across the organization to make data‑driven decisions.

Key responsibilities

• Design, build, and maintain end‑to‑end ETL workflows using PowerShell.
• Integrate multiple data sources such as SQL databases, REST APIs, and internal systems.
• Develop reusable PowerShell modules, configuration files, and parameterized functions.
• Implement robust error handling, logging, and monitoring for operational resilience.
• Write advanced SQL queries, stored procedures, and views to extract, validate, and transform data.
• Collaborate with IT and platform teams to ensure secure and compliant data operations.
• Interact with REST APIs (e.g., Bitbucket) for automated data ingestion and scheduled pulls.
• Build scalable data models and translate business requirements into KPI logic.
• Create dashboards and reports that deliver actionable insights to stakeholders.
• Produce clear documentation, architecture diagrams, runbooks, and knowledge‑transfer materials.

Required profile

• Expert‑level PowerShell scripting for ETL and workflow orchestration.
• Strong SQL development experience, including performance optimization.
• Hands‑on experience integrating data via REST APIs.
• Solid understanding of data modeling, KPI definition, and semantic layers.
• Familiarity with BI tools such as Power BI, Tableau, or Looker.
• Experience with version control systems (Bitbucket, Git) and CI/CD pipelines.

Required skills

• PowerShell
• SQL (queries, stored procedures, views)
• REST API integration
• Data modeling
• KPI logic design
• Power BI
• Tableau
• Looker
• Bitbucket
• Git
• CI/CD concepts