Scling’s mission is to enable established companies to benefit from the value in data at a level and efficiency that has so far been restricted to a tiny set of highly technical companies. The ability to handle data efficiently gives superpowers. These powers have so far been limited to a small circle of data mature companies. The larger masses of corporations have barely started scratching at the value of data, and there are not enough experienced data engineers and data scientists to satisfy the need for all of them.
Scling was created from a desire to use the power of data to make a positive impact on the world. There are many socially responsible companies with humane values for which the ability to make use of data will be the difference between success and failure. We believe that we can maximise our impact on the world by gathering data engineers and data scientists that share our desire to a team that provides data-factory-as-a-service to these companies.
Humanitarian values and social responsibility affect all company decisions, large and small. In practice, it is reflected in the customers that we choose to work with or not work with. We will not work with companies that are primarily active within the military sector, surveillance, betting, fossil fuels, aviation, unsecured consumer loans, or cryptocurrencies. We do not collaborate with organisations that are headquartered in non-democratic countries or countries that systematically oppress minorities. For customers in other sectors and countries, we are happy to provide any data services that are lawful, except for biometric recognition, which we believe should be regulated before being put to commercial use.
Our values are reflected in our daily work. Every choice of supplier is an opportunity to impact the world, and we favour suppliers that are socially and environmentally responsible. We treat colleagues, suppliers, and customers with integrity, kindness, and respect, and we expect customers and suppliers to reciprocate.
Lars has worked in data-intensive environments since joining Google in 2007, and has built data processing architecture at scale at Spotify and Schibsted. Since 2016, he has worked as an independent consultant and entrepreneur, helping companies get value from data through technical big data solutions and strategy consulting. He has had clients ranging from startups to technology-intensive companies, and to large enterprises. He is a frequent conference speaker on big data topics.
Sebastian is a data engineer with a passion for functional programming and with several big data engineering projects under his belt, despite his relative young age. Sebastian has worked both as a consultant and an employee always close to data, and always with a keen eye on delivering real business value from the data. Lars and Sebastian met while developing a data platform at Bonnier News, and eventually decided to work together at Scling.
Get agile to work in practice is Marcus’s motto. This had led him to take interest in all kinds of things agile: Kanban, Lean, test-driven design, specification by example, cloud and serverless technologies. Marcus has more than 20 years experience of doing agile (25+ years of programming is there too) and helping companies small and large; from insurance companies like Länsförsäkringar and Skandia/If, banks like Raiffeisen, via retail (ICA Sweden) to startups (Spotify, Tradera etc.), primarily in Sweden.
At Scling Marcus get to live what he has preached; getting agile to work in practice. Marcus helps our clients to get value from data by supporting them in processes that allow for fast iteration and rapid, frequent experiments. The design of Scling’s platform itself is also heavily influenced by lean ideas and optimised for fast iterations.