Senior Data Engineer

Senior Data Engineer ABOUT US Legora is on a mission: to redefine how legal work gets done. From the very start we have been very clear about the fact that we are not building a solution for lawyers, we are building it with them, because it is the only way to make sure it gets done the right way; working side-by-side every step of the way. Our AI-native workspace empowers legal professionals not just to work faster - but to ask better questions, unlock new insights. Every day, we push the boundaries of legal tech to make complex processes smarter, faster, and more human. From thousands of documents analysed in minutes to intelligent workflows designed in collaboration with leading practices, we’re turning possibility into reality. Today we are trusted by global firms like Cleary Gottlieb, Goodwin, Bird & Bird and Linklaters in over 40 countries, but we have no plans on stopping here. We ship fast, we iterate effectively, and we scale rapidly - not by accident, but by design. When you join Legora, you become part of a team that believes "good enough" isn’t good enough and that the way to win is together, by empowering lawyers to do their best work with technology that truly understands them. If you’re excited by building from first principles, working with exceptional people, and accelerating change in a high-stakes, high-impact domain—then this is the moment and the place. WE’RE NOT JUST SHAPING THE FUTURE OF LEGAL TECH — WE’RE DEFINING IT. READY TO JOIN US IN BUILDING THE INTELLIGENT FUTURE OF LAW? Legora is growing fast, and data is at the center of how we build, scale, and win. We're looking for a Senior Data Engineer to own our data platform end-to-end, from the infrastructure that powers it to the pipelines that feed it, and the foundations that make every analyst and product team faster. This isn't a role where you maintain someone else's decisions. You'll shape the architecture, set the standards, and build a data platform designed to be fully operable by automated systems, where the stack itself is a well-structured, observable, and programmable surface, not just a collection of pipelines someone has to babysit. You'll work closely with our analytics engineers, product teams, and RevOps to make sure the right data is in the right place, reliably, and that everyone who needs it can use it without filing a ticket. WHAT YOU'LL BE DOING - Own the data platform: develop and maintain core data infrastructure across the warehouse, data lake, orchestration, observability, and governance layers. - Build and maintain data ingestion: design robust ELT pipelines using dlt and implement declarative configuration for ingestion and transformation, partnering with domain teams to scale coverage. - Drive reverse ETL: push clean, modeled data back into operational tools to power workflows and automations across the business. - Lead warehouse design: collaborate with analytics engineers to define modeling conventions, enforce schema governance, and keep our dbt project clean, tested, and scalable. - Raise the DevEx bar: implement CI/CD pipelines for data systems, define platform best practices, and support self-service enablement so the data team can ship fast and safely. - Embed quality and security: ensure data quality, lineage, and security standards are built into workflows from the start, not bolted on after. - Design for programmability: architect the stack so it can be operated, queried, and orchestrated by automated systems, clean interfaces, structured outputs, and well-documented contracts throughout. WHO YOU ARE - Solid experience in a data engineering or data platform role, depth and ownership matter more to us than industry background. - Strong hands-on experience with a modern cloud data platform (Snowflake, BigQuery, Redshift, Databricks, or similar), dbt, and a solid grasp of distributed systems and how data moves at scale. - Comfortable with pipeline orchestration and managing infrastructure as code, ... (truncated, view full listing at source)