[GFA] Data Platform Engineer

Software Mind is looking for a skilled Data Platform Engineer to join an international team supporting a global technology platform. You will play a key role in building and maintaining scalable data pipelines that process millions of records for clients worldwide, working in a dynamic, remote-first environment.

Key responsibilities

• Build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium.
• Deploy and scale connectors as stateful workloads on Kubernetes, managing configuration, networking, and resource tuning.
• Monitor and troubleshoot production pipelines, addressing connector failures, throughput issues, and recovery workflows.
• Automate platform processes using Python, including onboarding new data sources and pipeline orchestration.
• Integrate CDC streams with the broader Azure data stack, including Event Hubs, ADLS, and Databricks.
• Manage infrastructure as code to ensure reproducible environments and maintain data protection standards.

Requirements

• Solid commercial experience as a data or platform engineer with a focus on streaming or CDC pipelines.
• Practical knowledge of Kafka, including topics, partitions, consumer groups, and delivery semantics.
• Strong SQL and PostgreSQL skills, with a deep understanding of logical replication and replication slots.
• Proficiency in Python for automation, tooling, and building recovery scripts.
• Hands-on experience with Azure data services and working with Kubernetes to deploy and debug workloads.
• Understanding of CDC concepts such as initial snapshots, event ordering, and schema evolution.

What we offer

• Fully remote work environment with flexible employment options.
• Engagement in international projects with leading global clients.
• Access to internal and external training programs and language classes.
• Comprehensive private healthcare, insurance, and well-being initiatives.
• A non-corporate atmosphere that values openness, creativity, and professional growth.