Data Operator

Our client is a unique and innovative organisation that operates across global markets. They are looking for a Data Operator to join their growing team where you will be tasked with monitoring business-critical data processing, fixing emergency issues, and escalating technical problems to the appropriate team.

Key Responsibilities

• Monitor server health before, during, and after processing cycles.
• Review logs, alerts, and notifications to ensure data is processed correctly.
• Complete daily checks on all incoming data feeds.
• Work with subject matter experts to confirm data accuracy.
• Apply emergency fixes when software issues or data anomalies occur.
• Escalate issues and collaborate with technical teams to implement improvements.
• Assist development and data teams with testing, monitoring, and coding tasks.
• Provide support to IT teams when needed.
• Analyse post‑processing output to ensure high‑quality data for analytics.
• Manage and coordinate shift schedules.
• Provide guidance and support to junior or less experienced data operators.
• Work closely with teams in other regions and report to department leaders.

Skills & Experience Required

• Ability to understand, write, and execute SQL queries.
• Ability to debug and write code in VB/C#.NET, PowerShell, VB Script, and Python.
• Experience with Git or Mercurial for code management.
• Strong troubleshooting ability, especially for server or network issues.
• Excellent attention to detail and communication skills.
• Strong organisational and time‑management abilities.
• Ability to work well within a team environment.
• Experience creating work rosters and reviewing team tasks.

Nice-to-Have Experience

• Familiarity with Agile development practices.
• Experience building products in a C#.NET environment.
• Experience with web technologies (HTML, CSS, JavaScript).
• Exposure to tools such as Jira, Bitbucket, or Confluence.
• Experience with ETL processes or data pipelines.
• Exposure to AWS services (e.g., Glue, S3, EC2, Lambda).
• Experience with container tools like Docker or Kubernetes.