DevOps Engineer

We’re looking for a DataOps Engineer to join one of our Data Platform teams. You’ll be responsible for building, automating, and optimizing the processes that enable reliable, scalable, and secure data delivery. You’ll work closely with Data Engineers, BI Developers, Data Scientists, DevOps Engineers, and Solution Architects to streamline data pipelines, automate deployments, improve observability, and ensure high-quality data operations across enterprise environments.

𝗗𝗮𝘁𝗮𝗢𝗽𝘀 & 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻

• Design, implement, and maintain DataOps processes that support the development, deployment, and operation of enterprise data platforms.

• Automate data pipeline deployments and operational workflows across development, testing, and production environments.

• Develop reusable automation scripts and infrastructure components to improve delivery efficiency.

• Collaborate with Data Engineering teams to standardize deployment and operational practices.

• Define and promote DataOps standards, templates, and best practices.

• Maintain technical documentation for deployment processes, operational procedures, and platform configurations.

𝗖𝗜/𝗖𝗗 & 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁

• Build and maintain CI/CD pipelines for data integration, analytics, and data platform components.

• Automate testing, deployment, and release management processes.

• Implement version control and branching strategies for data projects.

• Support environment management and deployment orchestration.

• Collaborate with development teams to improve release quality and reduce deployment risks.

• Troubleshoot deployment failures and optimize release processes.

𝗗𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀

• Monitor and maintain enterprise data pipelines to ensure availability, reliability, and performance.

• Identify, investigate, and resolve operational issues affecting data workflows.

• Implement scheduling, orchestration, and workflow automation for data processing.

• Optimize pipeline performance and resource utilization.

• Support incident management, root cause analysis, and operational improvements.

• Ensure operational processes meet agreed service levels and business requirements.

𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆

• Implement monitoring, logging, and alerting for enterprise data platforms.

• Define operational KPIs and monitor platform health and data pipeline performance.

• Collaborate with Data Governance and Data Engineering teams to implement automated data quality controls.

• Support proactive detection of data anomalies and operational issues.

• Produce operational reports and recommend continuous improvements.

• Contribute to platform reliability and operational excellence initiatives.

𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗰𝗹𝗼𝘂𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀

• Support cloud-based data platforms and enterprise data infrastructure.

• Collaborate with DevOps and Infrastructure teams to provision and maintain environments.

• Implement Infrastructure as Code (IaC) where appropriate.

• Support platform scalability, security, backup, and disaster recovery processes.

• Ensure environments comply with enterprise security and governance standards.

• Participate in platform upgrades and technology modernization initiatives.

Work model

Hybrid and remote-friendly. We trust you to deliver, wherever you work best from.

𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

𝗠𝘂𝘀𝘁-𝗵𝗮𝘃𝗲

• University degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.

• 3+ years of experience in DataOps, Data Engineering, DevOps, or Data Platform Administration.

• Strong SQL skills and good understanding of data integration and data warehouse concepts.

• Experience with CI/CD tools such as Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.

• Experience with Git version control and collaborative development practices.

• Knowledge of scripting languages such as Python, PowerShell, or Bash.

• Familiarity with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or similar.

• Strong analytical and troubleshooting skills.

• Excellent communication and collaboration abilities.

𝗡𝗶𝗰𝗲 𝘁𝗼 𝗵𝗮𝘃𝗲

• Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks, Snowflake, or Microsoft SQL Server.

• Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform or Bicep.

• Familiarity with monitoring platforms such as Azure Monitor, Grafana, Prometheus, or Splunk.

• Experience working in cloud environments (Microsoft Azure, AWS, or Google Cloud).

• Experience in Banking, Retail, Insurance, or Telco industries.

• Microsoft Azure, Kubernetes, Terraform, or DevOps certifications.

𝗛𝗼𝘄 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸

• Passionate about automation and operational excellence.

• Strong ownership and attention to detail.

• Proactive in identifying opportunities for optimization.

• Comfortable working across development, operations, and business teams.

• Focused on reliability, scalability, and continuous improvement.

• Committed to delivering secure and maintainable data platforms.

𝗪𝗵𝗼 𝘄𝗲 𝗮𝗿𝗲

IDS Consulting — a team of data people who genuinely love what they do. For 14+ years, we’ve been the go-to consultants for BI and Data Warehousing, partnering with enterprise clients across Banking, Retail, and Telco in Romania and Europe.

Our expertise spans Data Platforms, Business Intelligence, Data Engineering, and Cloud Analytics, helping organizations build reliable, scalable, and modern data ecosystems.

Our promise is short and to the point: We always deliver. Expert Data Services.

𝗪𝗵𝘆 𝗜𝗗𝗦 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴

• 14+ years of expertise in Data Warehousing, Business Intelligence, Data Engineering, and Cloud Data Platforms.

• A team of data specialists who learn from each other every day.

• Real projects, real impact—you’ll help build and operate enterprise data platforms that support critical business decisions.

• A culture that pushes you to grow, mentors you when you need it, and trusts you to deliver.

Sound like your kind of place? We’d love to meet you.