Two Circles

Sports marketing and data consultancy

Data Support Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

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 or query language, such as SQL, Python, or PySpark, with the ability to debug complex issues, analyze data, and independently build queries or scripts.
Working knowledge of the Microsoft Azure data ecosystem, particularly Azure Data Factory and Azure Databricks, and some experience working with or supporting data pipelines. Equivalent AWS experience is welcome where the knowledge can be transferred to Azure.
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, including working with logs, queries, and tooling to diagnose issues end-to-end.
Ability to independently investigate highly ambiguous problems, identify root causes, and deliver effective, scalable, preventative solutions.
A strong sense of ownership and accountability, with the ability to manage and prioritize workload across multiple concurrent issues, clients, and priorities in a fast-paced, reactive environment.
Ability to manage stakeholder expectations, influence outcomes, and provide clear updates in high-pressure or ambiguous situations.
Comfort operating in environments where processes are not fully defined, introducing structure, improving processes, and raising the team's operating standards.
Ability to explore systems, data, and integrations to build deep understanding of complex problems without 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 raise the capability of the wider team.
Strong attention to detail, organization, and time management, with the ability to balance reactive support with longer-term improvements.
Ability to contribute to shared goals, support the development of others, and lead by example in a support environment.

Responsibilities

Own and continuously optimize the team's support queue, making prioritization 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, and driving issue resolution.
Take ownership of high-impact and complex issues from identification through resolution, coordinating across Engineering, Product, and Client Teams 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 optimize 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—by performing root cause analysis and implementing robust, preventative fixes.
Manage multiple concurrent issues, dependencies, and stakeholders, maintaining momentum and unblocking progress 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, prioritization frameworks, communication standards, and ways of working in a reactive environment.
Partner with Engineering and Product teams to influence product improvements, represent support perspectives, and help prioritize 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 actionable insights into data quality, transformation integrity, and pipeline performance to inform client decisions and build trust.
Own and evolve User Access Management processes for employees 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.

Data Support Engineer

Two Circles · London, United Kingdom · Full-time · Posted 2026-09-29

Workplace: on_site

Department: Tech Ops

Description

We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 1000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are over 1000 people, based out of 15 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world.

Your main duties & responsibilities:

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

Requirements

The ideal background and skills we are looking for include:

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
Working knowledge of the Microsoft Azure data ecosystem, particularly Azure Data Factory and Azure Databricks, with some experience working with or supporting data pipelines. Equivalent AWS experience is also welcome where the knowledge can be transferred to Azure.
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, able to manage and prioritise workload across multiple concurrent issues, clients, and priorities in a fast-paced, reactive environment
Excellent communication and stakeholder management skills, able 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
You enjoy 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 your 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

Benefits

Summer away days
23 standard days of holiday (+1 Birthday, +2 for a big life event and +1 for Admin Day) closure of office for Christmas (Plus bank holidays)
Discretionary bonus 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

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About the Company

Two Circles

Sports marketing and data consultancy

Two Circles provides sports marketing and data consultancy that helps rights-holders, broadcasters, and sports organisations grow commercial value by focusing on fan engagement. It uses fan behavior data from ticketing, retail, digital, and social channels to build predictive models that guide messaging, targeting, and how rights are packaged and priced, while offering end-to-end services in sponsorship, media rights, digital campaigns, content production, and fan activation. The company differentiates itself by pairing strategic advice with hands-on execution at scale through platforms like Courtside 1891 for live production and Kore Intelligence for audience insights, and by growing through acquisitions such as Spring Media and Kore. Its goal is to help clients unlock more value from their fan audiences through evidence-based, multi-channel campaigns.

Company size: 1,001-5,000
Company stage: Growth Equity (Venture Capital)
Total funding: $317.5M
Headquarters: London, United Kingdom
Founded: 2011

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