Jobs at Infinite Lambda

Leads discovery, scoping, and Agile delivery for data transformation projects. Defines data products, requirements, scope, mappings, quality rules, and acceptance criteria; owns product backlogs and roadmaps; facilitates Agile ceremonies; manages stakeholder alignment, sign-offs, risks, and dependencies; and supports account growth, pre-sales, and statements of work. The role requires strong SQL, data architecture, analytics, modern data platform, and technology consulting experience.

Win and expand enterprise accounts in France for data and AI transformation services. Build partner co-selling relationships, collaborate with technical teams on proposals, manage deals from prospecting through signed statements of work, and grow accounts. The role requires selling to senior technical and executive buyers, originating large consulting or services deals, consistently meeting quotas, and managing a minimum €2 million annual book of business.

Win and expand enterprise accounts for data and AI services, managing deals from prospecting through signed statements of work. Build co-selling relationships with technology partners, collaborate with technical teams on proposals, engage C-level buyers, represent the company at industry events, and manage a minimum £2 million annual book of business.

Build scalable analytics and business intelligence solutions for client organizations using SQL, dbt, modern ELT practices, cloud data platforms, and BI tools. Responsibilities include data modeling, transformation, testing, documentation, deployment, requirements gathering, stakeholder management, recommendations, and delivery of self-service reporting solutions in distributed agile teams.

Build across backend, frontend and IDE extensions using agentic AI tooling, deliver features to spec with tests-first practices, and become the team expert mapping legacy ETL (Informatica/SSIS/Talend/IICS) to modern stacks (dbt, Fivetran, cloud warehouses). Ensure code comprehension, log agent failures, and drive modernisation patterns while meeting throughput and quality KPIs.

Lead end-to-end delivery of complex client projects, particularly data warehouse migration and AI initiatives. Responsibilities include scope, timeline, budget, requirements, stakeholder management, testing, data analysis, risk governance, executive reporting, and Agile or Waterfall delivery. The role bridges business and technical teams, supports client relationships and prospects, mentors delivery teams, manages multiple projects, and drives continuous improvement across fixed-cost and time-and-materials engagements.

Lead end-to-end delivery of complex client projects involving data warehouse migration and AI. Responsibilities include project planning, requirements gathering, stakeholder management, Agile or Waterfall delivery, testing, data analysis, governance, risk management, executive reporting, client relationship support, and coaching delivery teams. The role bridges business and technical stakeholders while ensuring projects meet scope, timeline, budget, quality, and business-value objectives.