1 день назад
Data Engineer / Senior Data Engineer (Azure, Databricks, Microsoft Fabric)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer / Senior Data Engineer (Azure, Databricks, Microsoft Fabric): Building a modern enterprise data and analytics platform on Microsoft Azure, including ingestion pipelines, governed data products, and analytical datasets, with an accent on Azure Databricks, Microsoft Fabric, lakehouse architecture, and AI-assisted engineering. Focus on designing scalable data solutions, migrating reporting workloads from SQL Server, establishing engineering standards, and translating business requirements into governed technical implementations.
Location: Bulgaria, Cyprus, Latvia, Poland, Romania, or Serbia. Remote, hybrid, and onsite work formats are available.
Company
is a software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Design and develop data ingestion pipelines from business systems into a governed cloud data platform.
- Build scalable data engineering solutions with Azure Databricks, Microsoft Fabric, Azure Data Factory, and Azure Data Lake Storage Gen2.
- Implement medallion architecture patterns, reusable engineering frameworks, curated data products, and analytical datasets.
- Support the migration of reporting and analytics workloads from legacy SQL Server environments.
- Apply AI-assisted development practices while maintaining quality, governance, and auditability.
- Provide platform design guidance, establish engineering standards, review code, and collaborate with technical and business stakeholders.
Requirements
- 6+ years of experience in data engineering.
- Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
- Strong programming skills in Python, SQL, and PySpark.
- Experience with Delta Lake, production lakehouse or medallion architectures, and SQL Server environments.
- Experience with Git, Azure DevOps, and CI/CD pipelines for data solutions.
- Ability to communicate effectively in English with technical and business stakeholders. Experience with architecture decisions, code reviews, engineering standards, requirements gathering, and stakeholder collaboration is required.
Nice to have
- Production experience with Microsoft Fabric.
- Microsoft or Databricks data engineering certifications.
- Experience with dimensional modelling, semantic modelling, Power BI, Microsoft Purview, data lineage, or metadata management.
- Experience in regulated financial services environments.
Culture & Benefits
- Flexible choice of remote, hybrid, or office work formats.
- Vacation, sick pay, health insurance, and time off for official state holidays according to the applicable country.
- Coverage of IT certification costs and access to courses, learning platforms, mentoring, and professional development programs.
- Technical and everyday workplace support, corporate events, and mental health programs.
- Corporate laptop or BYOD options, parental leave, referral bonuses, and flexible return-to-work arrangements.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments covering English and relevant technologies.
- Project team discussion and, where applicable, preparation for a client interview.
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