DataOps Engineer

We are looking for a mid-level DataOps Engineer who sits at the intersection of data engineering and cloud operations. You will own the reliability, performance, and automation of our data pipelines and data platform on Azure – making sure data flows from source to consumers predictably, efficiently, and at scale. You are equally comfortable debugging a broken ADF pipeline and writing Terraform to provision a new Databricks workspace.

What You’ll Do

• Design, build, and maintain data pipelines in Azure Data Factory and Databricks
• Manage and optimise data warehouse solutions on Azure Synapse Analytics and/or Databricks Lakehouse
• Lead or support migrations between data platform technologies (e.g. Synapse to Databricks)
• Implement infrastructure-as-code for data platform resources using Terraform
• Maintain CI/CD pipelines for data workflows in Azure DevOps and GitHub
• Monitor data platform health; set up alerting, lineage tracking, and data quality checks
• Prepare FinOps and SecOps reports related to data platform usage and costs
• Containerise and deploy data services using Docker and Kubernetes where needed
• Collaborate closely with data engineers, analysts, and software developers
• Write and maintain technical documentation, runbooks, and onboarding guides

Requirements

• 2-4 years of experience in DataOps, data engineering, or cloud data platform operations
• Azure data stack: Azure Data Factory, Synapse Analytics, Databricks (hands-on, production)
• Experience with Azure Fabric & Power BI reporting
• Infrastructure-as-code: Terraform for provisioning data platform resources
• CI/CD for data: Azure DevOps pipelines, version-controlled notebooks and configs
• Scripting and automation: Python and/or PowerShell
• Containers: Docker; Kubernetes for orchestration
• SQL proficiency — querying, tuning, and troubleshooting data warehouse workloads
• Solid understanding of data warehouse concepts (ELT/ETL, partitioning, medallion architecture)
• Good understanding of English – minimum Upper-Intermediate level

Nice to Have

• Azure certifications: Microsoft Certified in Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), or Fabric Analytics Engineer Associate (DP-600).
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or Azure Monitor.
• Basic understanding of cloud security practices.

If you believe you’re a great fit for this role but may be missing some skills, don’t hesitate to share your CV. What matters most is your intention and personality, as the skills can be developed along the way.

About 2ops

2ops is a fast-growing company focused on empowering clients with solid DevOps practices and cloud solutions. We foster a supportive environment where collaboration, innovation, and accountability matter. Our culture is built on creating space for talent to grow, contribute meaningfully, and share in our values. At 2ops, we believe in empowering people to make an impact while growing their careers.