Infinite Lambda Limited 2020 | Data Engineering, Data Science and BI

 9 Appold Street, London    

Your Specialist

Implementation Partner

We are a Data Engineering Specialist Company

Our team consists of experienced Data Engineering, Business Intelligence, DevOps, Data Science and Machine Learning experts. 

ROI in six months

We specialise in delivering data projects that deliver immediate value. 

Our average project has an average Return on Investment of just six months. Here's some of the problems we solved recently that brought immediate ROI:

Which Facebook Ad brings you the customers with the highest LTV?

What is the app usage behaviour of ‘profitable’ customers vs ‘non-profitable’ customers and how can you influence one to be more like the other?

When and how are onboarding customers failing KYC, and what can you do to help?

How do you detect ‘money mules’ early?


How do we reduce the cost of our legacy data warehouse by £25,000 per month?

Value from Data

We help you build the data platforms that collect, process and store data. 

But data is everywhere and collecting it is only step one.

Turning data into information and extracting value from it requires cross-disciplinary experience.


Our science & engineering squads provide just that. We work with you to identify the hard questions and business opportunities that can be addressed with Data Science and Analytics.


About us
Nas and Márton both come from a consulting background in the Data space. 

They became acutely aware of how much value a successful data project can bring to an organisation and established Infinite Lambda.
Since then, they have been fortunate to have been joined by more than 30 amazing engineers and scientists based across the UK, France, Hungary and Bulgaria.
Nas Radev - co-founder
Márton Hubay - co-founder

Our Premium Partners

We attribute a large part of our success to the technologies that enable us to deliver amazing solutions. 

Data Warehousing

Delivering data platforms at speed enables us to spend more time concentrating on what's really important - using data to solve problems.

As the Data Warehouse can often be the centrepiece of a platform, it is important to pick one that reduces operational overhead. Security, scalability and ease of use are other important considerations. 

We have experience with some great warehousing tech, yet always find Snowflake to be one step ahead.

Business Intelligence

The right BI tool will enable curiosity. It will democratise access to data. It will enable anyone to ask and answer questions, without needing teams of engineers to prepare custom reports. It will reduce friction and enable self-service.

For those reasons, Looker is our favourite BI tool out there. It works really well with cloud-based data warehouses (like Snowflake) and bundles data catalogue, exploration, dashboards and scheduled reporting all into one browser-only tool.

Data Collection

Building data streams is hard. Building streams that scale, ensure high quality of data, enable users to 'tap into' the stream at any point and provide a number of enrichments out of the box are really hard. Luckily, there's Snowplow! It allows us to focus on how users utilise product features as opposed to spending months building data streams!

As much as we enjoy building data pipelines, we aren't too sold on the idea of reinventing the wheel all the time. Luckily, Fivetran has connectors to over a hundred data sources, allowing us to pull data into our data lake/warehouse with minimal setup. Huge time-saver!


Contact Us

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