DataOps Engineer

As a company operating in ICT and high technologies fields, Azerconnect Group delivers advanced solutions, including Mobile, Internet, and International leased lines provisioning, alongside cutting-edge digital services in FinTech, AdTech, and Media/TV. Azerconnect Group has been awarded the "Top Employer" certificate in Azerbaijan for 2023, 2024 and 2025 by the world's prestigious "Top Employers Institute". Azerconnect Group is part of NEQSOL Holding, an international group of companies operating in various countries across the energy, telecommunications, hi-tech, and construction industries. Your responsibilities as a DataOps Engineer:

Design, deploy, and manage scalable and resilient data infrastructure to support analytics, real-time processing, and data pipelines. Automate data workflows, ETL/ELT processes, and deployment pipelines using CI/CD tools;Troubleshoot system failures, identify root causes, and implement proactive solutions to minimize downtime;Ensure 24/7 availability of critical data platforms in coordination with IT and DevOps teams;Manage and optimize ClickHouse, NiFi, Airflow, Kafka, DBT, and other data-related tools in the environment.

Handle access control, security configurations, and data governance policies to protect sensitive data;Monitor resource utilization and optimize the performance of data infrastructure and processing pipelines;Ensure efficient scaling of data systems in response to business growth and increased data volumes;Work closely with Data Engineers, DevOps, IT, and security teams to ensure smooth integration and operation of the data ecosystem;Maintain clear and comprehensive documentation for infrastructure configurations, deployment processes, and troubleshooting procedures;Implement best practices for data security, access control, and compliance with organizational policies;Ensure backup, disaster recovery, and failover mechanisms are in place for critical data services.

Position requirements: Higher or relevant experience (Data Engineering, Data Architecture, Consulting, Product Management, Digital, Technology); 5+ years of Data Engineering in Lead positions within Telco, Banking and Retail industry; Minimum 5 years of relevant experience in a DataOps engineering environment;Language Skills: good level of Azerbaijani, English, Russian;Extensive hands-on experience in data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems; Infrastructure & Cloud: Experience with on-premise and cloud-based data infrastructure (e. g. ,Kubernetes, MinIO, Iceberg, Spark, Trino);Database & Storage: Strong expertise in ClickHouse and other big data processing technologies. Scripting & Automation:

Proficiency in Bash, Python, or Ansible for automation and scripting; CI/CD & Deployment: Experience with Git, Jenkins, Docker, Kubernetes, and Helm for managing deployments; Monitoring & Logging: Knowledge of tools like Prometheus, Grafana, ELK stack, and distributed tracing;Security & Compliance: Familiarity with IAM, role-based access control (RBAC) and encryption techniques for securing data pipelines; Problem-Solving: Ability to diagnose and resolve performance and reliability issues in data pipelines. Collaboration: Strong communication and teamwork skills to work effectively with engineers, IT, and business teams;Documentation: Ability to document technical processes, troubleshooting steps, and system configurations;Proactive Mindset:

A mindset focused on automation, continuous improvement, and scalability. What we offer?Competitive compensation;Incentives and bonuses based on performance;Fringe benefits;Performance-driven culture;Diversified learning and development opportunities;Career growth opportunity;Hybrid work opportunity;Unique experience of working in the most dynamic industry;Innovative products and digitalization;International experience;Amazing team of highly skilled professionals;Cross-functional collaboration;Experience sharing.