Data Platform Support Engineer

We are recruiting for one of our global clients, a leading company in the media measurement and data technology sector.

As a Data Platform Support Engineer, you will be responsible for ensuring the stability and quality of a cloud-based data production environment, supporting end-to-end data collection, processing, and delivery through wearable technology.

This role focuses on data operations, platform support, and DevOps-oriented responsibilities within a real-time, technology-driven ecosystem.

Key Responsibilities:

• Monitor daily data uploads from wearable devices, ensuring data integrity, accuracy, and SLA compliance,
• Perform data quality checks, analyse QC reports, and prepare validation summaries,
• Investigate data anomalies, drops, and inconsistencies; escalate complex issues to global engineering teams when required,
• Support a 24/7 production environment, ensuring system reliability across servers, data pipelines, and applications,
• Troubleshoot data production issues, including application errors, system alerts, and integration challenges,
• Act as the primary technical contact for broadcasters, supporting proprietary software and audio watermarking technologies (SDK / software / hardware) via remote channels,
• Collaborate with local IT, data engineers, global support teams, and external vendors,
• Support the setup, configuration, testing, and scaling of new measurement systems,
• Maintain and support proprietary business applications, including upgrades and integrations,

Skills & Qualifications:

• 3–5 years of experience in data operations, platform support, production support, or DevOps-related roles,
• Bachelor’s degree in Computer Engineering, Software Engineering, Electrical & Electronics Engineering, Industrial Engineering, or a related engineering discipline (preferred),
• Experience troubleshooting cloud and data platforms (preferably Azure, DevOps, application support environments),
• Strong analytical skills with high attention to detail,
• Excellent English communication skills (written and spoken),
• Ability to learn proprietary systems quickly and adapt to evolving technical environments,
• Experience with incident management and escalation processes,
• Structured, responsible, and solution-oriented approach,

Who Should Apply

Mid-level professionals who enjoy working close to live systems and data flows, and who want to take ownership in a technically critical, operations-focused role.

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