Senior Azure Data Engineer
New
D
DCV TechnologiesData Engineering
Romania / Bulgaria / Poland – 100% RemoteContractSenior
Salary not disclosed
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Job Details
- Experience
- At least eight years of professional experience in Data Engineering
- Required Skills
- PythonSQLMicrosoft AzureCI/CDData modelingDatabricks
Requirements
- At least eight years of professional experience in Data Engineering, including ownership of production-grade data pipelines.
- Strong, demonstrable hands-on experience with Microsoft Azure and Databricks.
- Advanced SQL and Python skills.
- Strong experience designing, building, and operating data pipelines and analytical data products.
- Command of modern data-platform and lakehouse principles, including medallion architecture and dimensional modelling.
- Experience with software-engineering and DataOps practices: version control, automated testing, CI/CD, deployment, and monitoring.
- Experience with SRE practices and continuous operational improvements.
- Strong stakeholder communication skills and ability to collaborate across Data, Architecture, Product, and Engineering teams.
- Data modelling skills and ability to develop a holistic view of business objectives.
- Ability to work autonomously and make sound, documented technical decisions.
Responsibilities
- Design, build, test, and deploy scalable data pipelines for reporting and analytics use cases.
- Review existing reporting pipelines and refactor them to improve reliability, performance, maintainability, and observability.
- Translate reporting needs into robust technical solutions in collaboration with Data professionals, Architects, and Product/Engineering Managers.
- Contribute hands-on to the onboarding of Core Products data workloads onto the Group Data Platform.
- Ensure compliance with platform standards for data modelling, code quality, testing, CI/CD, documentation, security, and monitoring.
- Own the SRE practices for data pipelines and products.
- Diagnose data incidents and pipeline failures, identify root causes, and implement durable corrective actions.
- Document data flows, dependencies, transformation logic, and operating procedures.
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