Infinite Lambda

Data Engineer

• Lead the design, development, and optimization of data pipelines using Databricks (including Delta Live Tables / Lakeflow) on Azure.
• Migrate and refactor legacy stored procedures and sprawling MSSQL processes into modern, governed Databricks solutions.
• Contribute to data platform modernization initiatives, including medallion architecture, data quality, and governance practices.
• Collaborate with the client’s team and our Analytics Engineers to deliver high-quality, production-ready data assets.
• Work in a client-facing consulting environment: gather requirements, provide recommendations, and professionally push back when needed to ensure the best technical outcomes.
• Apply broad data engineering skills (pipelining, orchestration, cloud infrastructure) while deepening your expertise in the modern data stack.

Solutions Engineer

• Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;
• Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively;
• Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations;
• Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;
• Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;
• Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.
• Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;
• Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;
• Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients;
• Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning;
• Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;
• Deepen subject-matter knowledge in Infinite Lambda’s key industry verticals, ensuring a strong understanding of client needs and market dynamics.
• Work with Infinite Lambda’s executive team to help steer the company’s overall strategy in a positive direction, providing insights from solutions architect perspectives.
• Represent Infinite Lambda at external conferences and events, promoting the company’s brand, thought leadership, and expertise in data and cloud engineering.

Solutions Architect

Analytics Engineer

• Design, develop, test, and maintain production-grade dbt projects for our clients (models, tests, macros, snapshots, documentation, and semantic layer)
• Build clean, well-documented analytics marts and metrics layers optimized for BI consumption and performance
• Collaborate closely with client stakeholders, BI teams, and our consultants to define business metrics and translate requirements into reliable data models
• Implement rigorous data quality testing, monitoring, lineage, and governance practices
• Optimize cloud warehouse performance for fast BI experiences (incremental models, materializations, query tuning)
• Support BI tool implementations and dashboard delivery by delivering analytics-ready data
• Manage Git workflows, CI/CD pipelines, and DataOps best practices in client environments
• Quickly ramp up on new client stacks and proactively improve their data foundation during the engagement

Senior Analytics Engineer – Contractor

• At Infinite Lambda, analytics engineers turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports.
• They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that empower business owners to make better and more informed decisions.

EU I Analytics Engineer

Program Manager

• Lead end-to-end delivery of multi-year programmes using Agile or Waterfall methodologies.
• Develop and maintain clear scope, timelines, budgets, and resource allocation plans.
• Proactively develop creative solutions to execution challenges.
• Establish stringent programme standards and governance models.
• Engage and influence senior stakeholders, including C-level executives.
• Collaborate with teams from both Infinite Lambda and the client.

Data Programme Manager

Business Development Rep

• Partner with the Sales & Partnerships team to target enterprise customers in the USA that are undergoing digital or data transformation;
• Introduce prospects to Flowline, our automated migration solution, to help them move off legacy ETL tools (Informatica, Talend, SQL Server) onto the modern data stack;
• Collaborate with partner BDRs and AEs at Fivetran, dbt Labs, Snowflake, and Omni to co-target key strategic accounts;
• Run personalized outreach campaigns via LinkedIn, email, and events to build awareness and pipeline;
• Research target accounts to understand their data challenges, architecture, and buying signals;
• Qualify inbound leads from marketing, events, and partners;
• Maintain accurate pipeline hygiene and activity tracking in HubSpot;
• Participate in go-to-market strategy sessions, sharing insights from your outreach to refine our messaging and targeting;
• Technical discovery: Move past surface-level scripts. You must understand data architecture well enough to identify pain points in legacy environments (Informatica, SQL Server, etc.);
• Demo coordination: Use Flowline (our migration automation engine) to lead "Show, don't tell" sessions that prove technical viability early;
• Account mapping: Identify and engage multiple stakeholders within an organization to navigate the enterprise buying process.

Data Engineer

Solutions Architect

Senior Analytics Engineer – Contractor

EU I Analytics Engineer

Data Programme Manager

Business Development Representative