Senior Data Engineer

OverviewSibill is the accounting and financial operating system for small and medium businesses (SMBs).Outdated tools and fragmented data waste entrepreneurs a lot of hours each week — we give this time back by integrating invoicing, payments, treasury, and accounting in one modern platform.We're backed by top international investors such as Keen Venture Partners (Fiscozen), Founders A/S (Pleo), Exor Ventures (Qonto, Alan), Notion Capital, and most recently Creandum, known for supporting Klarna and Spotify at early stages.Thousands of entrepreneurs already trust Sibill.Our goal?Reach millions.This is just the beginning.What we look forWe are looking for a motivated, pragmatic, and goal-oriented Senior Data Scientist to join our Data team.You are the perfect fit if...You are passionate about technology and business.Both of them.You don't feel "done" yet, you want to keep learning and applying good engineering to drive business outcome.You still want to be hands-on.You are excited about working in a flat, no-politics, fast-paced environment.You have excellent analytical skills and and a sharp eye for detail.You are not scared of working hard.As a team, we all have to go the extra-mile to make it happen.You feel like fitting the values we share at Sibill: ambition, pragmatism, efficiency, integrityWhat you will doYou will report directly to Dario, Chief Data Officer & Co-Founder.You will own, iterate and build all the pipelines and systems that empower the people within our team to take good, sound, data-driven decisions.We strongly believe that the foundations behind strong business intelligence is a well-crafted data platform.This will not be a one-man standing.It will take a lot of cross-functional work with the people in our analytics, system engineering, product and business teams.We sit on top of the most business-critical company data.Money flows, bank transactions, invoices, cash register records, payables and receivables, general ledger records.We are the accounting & finance operating system of our customers.On top, core internal data is originated across multiple systems (CRM, billing, messaging interfaces, etc).You will build systems that connect this information and store it so that it can be retrieved(i) easily(ii) quickly(iii) safely by our teammates & AI agents.Your responsibilities will include:Build and iterate fast, efficient and robust data pipelines (batch, stream ETL, etc)Manage our analytics data warehouse - together with our system engineers - to make it scalable and reliable.Queries (when well-written...) should execute fastBuild and scale data catalogs, ontologies and - more generally - a semantic layer for our data infrastructureEnsure data quality, anonymisation of sensitive information and, in general, technical compliance to privacy laws and adherence to technical standardsExamples of projects you could work on from month one at Sibill:Centralise our ETL tasks in a single, well-architected data platformMigrate our current analytics data warehouse off Postgres onto an OLAP-minded databaseWho you areYou are fluent in modern Python and SQL.You are used to work with modern software development tooling and best practices (Docker, CI/CD, unit testing, evals).We do not run data pipelines built on Jupyter Notebooks in production.Bonus point if you are have already worked with other programming languages (e.g. Rust, Scala, Elixir).You know how to read and understand an EXPLAIN plan.Proven expertise in building robust data pipelines and evolving data architectures.Previous exposure to modern data storage formats (e.g. Arrow, Iceberg), query engines (e.g. DataFusion) and database design patterns (CDC, queues, message brokers) is highly beneficial.We have a bias to keep things simple - but sometimes we'll have to push the bar up to cope with challenging problems.Especially at the beginning, an end-to-end data ownership mindset.It will not happen every day but - if necessary - you might be asked to set up a no-code ETL in our customer data platform, to debug third-party tools behaviour, or to support teammates with an important one-off empirical analysis.Fluency in English and Italian.Bonus point: at least 7-8 years of experience.You have already coached and mentored junior colleagues.RAL: range between *****k €, based on your experienceFull remote (based in Italy).We will just ask you to come to Milan for a few weeks during the onboarding (trip is on us)You will work within a team of smart, hard-working, passionate and nice human beings.People in Sibill tend to be very happy.Happiness is an underrated benefit ;-)a quick chat with Gaia, our HR Manager30 minutes "know-each-other" session with Dario (Chief Data Officer)45 minutes technical interviewyou will meet some of the key people you will work with (engineering, data, product)45 minutes with Mattia (CEO) and Lorenzo (Chief Product Officer)#J-*****-Ljbffr