Data Platform Support Engineer

🚀 About the Role

We are looking for a Data Platform Support Engineer who will be responsible for ensuring the stability, monitoring, and troubleshooting of production data pipelines in a cloud-native environment. This role is ideal for candidates with experience in data engineering, backend development, or platform operations who want to work with modern data technologies and analytical systems.

You will be responsible for resolving production incidents, analyzing data-related issues, and collaborating with engineering teams to improve the reliability of data flows. The role involves working with technologies such as Google Cloud Platform, BigQuery, Dataflow, and workflow orchestration tools.

Join a team building robust data platforms at scale.

🔧 What you'll be working on

In this role, you will monitor and support both batch and streaming data pipelines built on technologies such as Scio, Google Dataflow, BigQuery, and GCS. Your responsibilities will include incident analysis, root cause identification, and close collaboration with engineering, product, and platform teams to design long-term solutions. You will also support orchestration workflows using tools like Flyte or Styx, improve monitoring, alerting, and documentation, and participate in incident management and post-incident review processes. You will work in an agile, highly technical environment focused on quality, reliability, and automation.

✅ What You’ll Bring

• Experience in data engineering, backend development, or data platform support
• Knowledge of GCP, BigQuery, Dataflow, or similar technologies
• Ability to analyze logs and troubleshoot technical issues

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• Basic understanding of batch and streaming data processing
• Strong analytical thinking and ability to work independently
• Working hours: EU timezone, occasional overlap with US may be required

✅ What we offer

• Opportunity to work on modern cloud-native data platforms
• Technical environment with close collaboration with engineering teams
• Growth opportunities in data engineering and cloud infrastructure
• Agile team culture, open communication, and the ability to influence technical solutions

📋 Project details

🌍 100% remote

🕐 Working hours: EU timezone, occasional overlap with US may be required

⚡ Start: ASAP

💰 Rate: up 280-300 EUR/man-day (B2B)

🎬 Industry: Media – US market

⚡Due to client data restrictions, only EU-based candidates can be considered

💬 Interested? Apply directly or reach out — we'd love to hear from you.