Data Support Engineer

Owns the operational health, stability and performance of a data management platform and associated data pipelines, while managing a support queue across multiple clients and business impacts. It acts as a senior escalation point, leading complex client onboarding, configuration and data issue resolution across the full data lifecycle. The position works closely with Engineering, Product and client-facing teams to improve platform reliability, support operations and client outcomes.

• Own and continuously optimise the team's support queue, making prioritisation decisions across multiple clients, issues and business impacts in a fast-paced, reactive environment with dynamic priorities.
• Own the operational health, stability and performance of the data management platform and associated data pipelines, proactively identifying risks, preventing incidents, driving resolution
• And identifying recurring issues and systemic weaknesses to eliminate root causes and improve platform reliability and supportability.
• Take full ownership of high-impact and complex issues from identification through to resolution, coordinating across Engineering, Product and client teams, managing multiple concurrent issues, dependencies and stakeholders, and ensuring clear, proactive communication and stakeholder alignment.
• Lead complex client onboarding and configuration, designing approaches to data ingestion, mapping, tracking and analytics in non-standard or ambiguous scenarios.
• Configure, manage and optimise client environments within Data Management hubs, implementing and validating complex changes and ensuring long-term scalability and reliability.
• Investigate and resolve complex and ambiguous data issues across the full data lifecycle (collection, processing and presentation), performing deep root cause analysis and implementing robust, preventative fixes.
• Act as a senior escalation point for support issues, providing guidance, oversight and quality control for junior team members, and drive improvements to support operations, including incident management, prioritisation frameworks
• Communication standards and ways of working in a reactive environment.
• Partner closely with Engineering and Product teams to influence product improvements, represent support perspectives, and help prioritise fixes and enhancements based on client impact.
• Provide client-facing teams with clear, actionable insights into data quality, transformation integrity and pipeline performance, helping inform client decisions and build trust.
• Own and evolve User Access Management processes for Two Circlers and client users, ensuring scalability and security, and ensure data security, governance and compliance standards are consistently upheld, acting as a role model for best practice.

• Strong, proven experience working in technical support or data platform environments.
• Advanced working knowledge of at least one data/query language (e.g. SQL, Python or PySpark), with the ability to debug complex issues, analyse data and build queries/scripts independently.
• Working knowledge of the Microsoft Azure data ecosystem, particularly Azure Data Factory and Azure Databricks, with some experience working with or supporting data pipelines.
• Good understanding of how data moves through a platform end-to-end, including ingestion, pipelines, transformations, data storage and downstream integrations.
• Strong troubleshooting skills across systems, data and integrations, with the ability to work across logs, queries and tooling to diagnose issues end-to-end.
• Ability to independently investigate highly ambiguous problems, identify root causes and deliver effective, scalable and preventative solutions.
• A strong sense of ownership and accountability, with the ability to manage and prioritise workload across multiple concurrent issues, clients and priorities in a fast-paced, reactive environment.
• Excellent communication and stakeholder management skills, with the ability to manage expectations, influence outcomes and provide clear updates in high-pressure or ambiguous situations.
• Comfortable operating in environments where not all processes are fully defined, and able to introduce structure, improve processes and raise the bar for how the team operates.
• Enjoys getting stuck into complex problems, exploring systems, data and integrations to build deep understanding, rather than relying on step-by-step guidance.
• Experience working cross-functionally with Engineering, Product and client-facing teams, influencing outcomes beyond immediate responsibilities.
• Ability to produce high-quality documentation, contribute to knowledge sharing and actively raise the capability of the wider team.
• Strong attention to detail, organisation and time management skills, with the ability to balance reactive support with longer-term improvements.
• A collaborative team player who contributes to shared goals, supports the development of others and leads by example in a support environment.

• Experience supporting production systems and external clients.
• Equivalent AWS experience where the knowledge can be transferred to Azure.

• Summer away days.
• 23 standard days of holiday, plus 1 birthday day, 2 days for a big life event and 1 admin day, with office closure for Christmas and bank holidays.
• Discretionary bonus based on company performance.
• Performance reviews every 6 months with discretionary salary increases.
• Private healthcare (Vitality) or Medicash scheme.
• Mobile phone contribution.
• Sport challenge contribution.
• Gym membership contribution.
• 1x annual kit drops.

Two Circles is a sports and entertainment marketing business that grows audiences and revenues by knowing fans best. It works with clients to help them understand and influence fan behaviour, including how fans spend their money, which events they attend, which channels they respond to and what content they watch. Its platforms and services are trusted by over 1,000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon.