DataOps Engineer (Azure)
Bialystok
Exadel
Advance your business through technology and pave the way to becoming a digital leader with Exadel, an enterprise software development and consulting company.As a DataOps Engineer, you will be responsible for the design, automation, and monitoring of data pipelines across Azure cloud services. You’ll work closely with data engineers and platform teams to ensure that data flows are efficient, reliable, and secure. You will also help integrate tools for data governance and cost optimization.
Work at Exadel - Who We Are
We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.
About Our Customer
Our client is a global IT services company with a strong presence in over 35 countries. They specialize in cloud technologies, software licensing, data & AI, and cybersecurity. Working with top partners like Microsoft and AWS, they help organizations optimize their digital strategies and unlock the full value of their data.
Requirements
- Background in Azure Data Factory, Databricks, and Azure SQL
- Experience in data pipeline automation and orchestration
- Hands-on skills with Python and PowerShell
- Familiarity with Unity Catalog or similar data cataloging tools
- Practical knowledge of Terraform and IaC
- Understanding of data governance, data quality, and lineage
Nice to Have
- Exposure to ML/AI projects or pipelines
- Experience working in enterprise cloud environments (Azure preferred)
- Understanding of Data Mesh or distributed data ownership
English level
Intermediate+
Responsibilities
- Design and build scalable data pipelines using Azure Data Factory and Databricks (AutoLoader, Delta Lake)
- Integrate data cataloging with Unity Catalog
- Implement CI/CD pipelines for data workflows (Azure DevOps)
- Monitor data pipeline performance using Azure Monitor
- Automate and manage infrastructure with Terraform
- Collaborate on cost optimization and usage tracking in Azure
- Contribute to data governance in a federated Data Mesh setup
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure CI/CD Databricks Data governance DataOps Data pipelines Data quality DevOps Machine Learning Pipelines Python SQL Terraform
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