The ad says“Deep experience working with data pipelines, transformations, and diagnosing data quality or integrity issues in production environments”
The ad says“Deep experience working with data pipelines, transformations, and diagnosing data quality or integrity issues in production environments”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Strong troubleshooting skills across systems, data, and integrations, with the ability to work across logs, queries, and tooling to diagnose issues end-to-end”
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 our data management platform and associated data pipelines, proactively identifying risks, preventing incidents, and driving resolution of issues
Take full ownership of high-impact and complex issues from identification through to resolution, coordinating across Engineering, Product and Client Teams, and ensuring clear, proactive communication and stakeholder alignment throughout
Lead complex client onboarding and configuration, taking responsibility for designing approaches to data ingestion, mapping, tracking, and analytics in non-standard or ambiguous scenarios
Configure, manage, and optimise client environments within our 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
Effectively manage multiple concurrent issues, dependencies, and stakeholders, maintaining momentum and unblocking progress even when reliant on external inputs
Act as a senior escalation point for support issues, providing guidance, oversight, and quality control for junior team members and ensuring high standards of issue resolution
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
Identify recurring issues and systemic weaknesses, and lead efforts to eliminate root causes and improve platform reliability and supportability
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
Ensure data security, governance, and compliance standards are consistently upheld, acting as a role model for best practice
Benefits
Renowned Team Days often throughout the year
Discretionary Bonus based on company performance
Performance Reviews every 6 months with discretionary salary increases
Summer Away Days
23 standard days of holiday (+ 1 Birthday, +2 for a ‘Big Life Event’ and +1 Admin Day), closure of office over Christmas (plus Bank Holidays)
Private healthcare (Vitality) and/or Health Care Plan (Medicash)
Mobile phone contribution
Sport Challenge contribution
Gym membership contribution
2x annual kit drops
Tickets to sporting events
Lunch once a week, breakfast and continuous supply of snacks
Private healthcare schemes
Cycle to work scheme
Learning and Development opportunities, including certification in certain areas
Preferred experience
A strong sense of ownership and accountability, able to manage and prioritise workload across multiple concurrent issues, clients, and priorities in a fast-paced, reactive environment
Experience working cross-functionally with Engineering, Product, and client-facing teams, influencing outcomes beyond your immediate responsibilities
Deep experience working with data pipelines, transformations, and diagnosing data quality or integrity issues in production environments
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
Ability to independently investigate highly ambiguous problems, identify root causes, and deliver effective, scalable, and preventative solutions
You enjoy getting stuck into complex problems, exploring systems, data, and integrations to build deep understanding, rather than relying on step-by-step guidance
Strong troubleshooting skills across systems, data, and integrations, with the ability to work across logs, queries, and tooling to diagnose issues end-to-end
A collaborative team player who contributes to shared goals, supports the development of others, and leads by example in a support environment
Strong attention to detail, organisation, and time management skills, with the ability to balance reactive support with longer-term improvements
Excellent communication and stakeholder management skills, able to manage expectations, influence outcomes, and provide clear updates in high-pressure or ambiguous situations
Ability to produce high-quality documentation, contribute to knowledge sharing, and actively raise the capability of the wider team
Strong, proven experience working in technical support or data platform environments, ideally supporting production systems and external clients
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
