Are you a skilled Data Engineer with a passion for cloud-native technologies? Do you thrive in building scalable and reliable data solutions on Azure? If so, we’d love to meet you!
As a Data Engineer, you will play a key role in designing, developing, and maintaining our enterprise Data Platform. You will work within agile DevOps teams and collaborate with cross-functional stakeholders to deliver high-quality, secure, and efficient data pipelines and storage solutions aligned with our enterprise data strategy and architecture standards.
Key Responsibilities
1. Data Platform Development
* Design, implement, and optimize scalable data storage and processing solutions on Azure (e.g., Azure Data Lake, Azure Data Factory, Azure SQL,, Azure Databrick, Microsoft Fabric).
* Align development efforts with the Data Platform product roadmap and architectural standards.
* Contribute to the evolution of our Data Platform into a robust provider for data consumers, including reporting systems, internal applications, and other analytical services.
* Continuously improve and optimize the Data Platform to ensure peak performance, scalability, and reliability across all data use cases.
2. Data Integration & ETL/ELT
* Develop reliable data ingestion pipelines using Azure Data Factory, Microsoft Fabric, Azure Databricks
* Implement efficient ETL/ELT processes for both batch and streaming data sources.
* Using (T)SQL, interpret & transform data into business ready data stores for analytical use
* Understand, improve & create data models (semantic layer) for use in Power BI
3. Monitoring & Operational Support
* Monitor, troubleshoot, and improve performance of data pipelines and storage systems.
* Implement logging, telemetry, and alerting for proactive system maintenance and operational resilience.
4. DevOps & CI/CD
* Contribute to CI/CD pipelines using tools like Azure DevOps or GitHub Actions.
* Ensure seamless integration of data components within agile product teams.
5. Stakeholder Collaboration
* Work closely with Data Owners, Stewards, Data Architects, BI Analysts, and Governance Leads to ensure consistent application of data standards and policies.
6. Workflow Automation
* Identify and automate recurring data workflows using scripting languages (e.g., Python (PySpark), PowerShell) and Azure-native automation tools (Logic Apps).
7. Data Governance & Quality
* Apply best practices for data security, access control (e.g., Azure Purview, RBAC), and quality checks.
* Ensure compliance with organizational data governance frameworks.
8. Documentation & Standards
* Maintain clear, up-to-date documentation of data pipelines, data models, and architecture decisions.
* Ensure alignment with enterprise data architecture standards.
Requirements
* Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
* 3+ years of experience as a Data Engineer, preferably in an Azure cloud environment.
* Hands-on experience with Azure tools (Data Factory, Synapse, Databricks, Azure SQL, etc.).
* Experience with DevOps and CI/CD practices.
* Familiarity with data governance, data security, and data quality frameworks.
* Familiarity with reporting tools such as Power BI, Qlik, Tableau, ...
What We Offer
* A dynamic work environment in a forward-thinking organization.
* Room for innovation, ownership, and personal development.
* Hybrid working possibilities.
* Competitive salary and comprehensive benefits package.
* Access to training, certifications, and development programs in Azure and data engineering.