PbAbout Nova /b /ppNova is the professional network that connects the most talented people globally. /ppUnlike LinkedIn and other platforms, Nova is merit-based: all members go through a rigorous selection process to join. /ppWe believe your professional success is determined by your network. Whether finding a business partner, mentor, or peer support, members achieve their goals through Nova — one connection at a time. /ppWe operate two main business lines: /pp bB2C: /b Through our paid membership, we give top professionals access to a high-calibre network. Nova’s platform already connects over 25,000 members. /pp bB2B: /b Through recruiting and headhunting services, we help companies find and hire Nova-level talent. We have 700+ B2B clients, including Uber, Santander, and Boston Consulting Group. /ppWe’ve recently raised our first VC round and are growing fast. Our 2025 goals are ambitious: 2x our membership base, expand to 25+ cities worldwide, and make Nova the global network for top talent. /ppbr/ppbAbout the role /b /ppNova is still early in its data journey. This role goes beyond building pipelines: it’s about bshaping our data strategy /b, bmodeling the business /b, and benabling teams /b to make smarter decisions with reliable data. /ppWe’re looking for a bdata generalist /b who can build data pipelines, model data, and work closely with business teams to make it accessible and actionable. If your goal is to go deep into data infra or big data engineering, this isn’t the right fit. If you want to bown problems end to end /b, grow fast, and shape how data is used in a scaling startup, it’s a great match. /ppYou’ll be part of the Data AI team. Your core focus is data modeling and business enablement, but if you’re curious about AI, you’ll have the chance to get involved in projects and experiments. /ppbr/ppbr/ppbYour main responsibilities /b /pulliBuild, maintain, and orchestrate data pipelines using modern workflow tools (e.g. Prefect, Airflow) /liliOwn Nova’s data models by designing clean, reliable dimensions and metrics that power dashboards and decisions. /liliEnsure data quality through tests, validation, and documentation. /liliEnable the business by making data accessible in our BI (Metabase) and supporting teams with dashboards and insights. /liliCollaborate with Business, Product, and Tech to translate needs into structured data assets. /liliWork in a fast, lean environment where ownership matters. And leveraging modern tools (like Cursor) to work smarter and keep Nova at the cutting edge. /li /ulpbr/ppbRequirements for this position /b /pulliStrong skills in SQL and Python for data transformation and workflows. /liliExperience modeling and structuring data for analytics and dashboards, with a solid understanding of concepts like dimensions and metrics. /liliExperience integrating third-party data sources using tools like Airbyte or custom connectors. /liliExperience orchestrating and maintaining data pipelines with tools like Prefect or Airflow. /liliComfortable with Git and working in cloud environments (AWS/GCP/Azure). /liliOwnership mindset: you care about the data being reliable and trusted. /li /ulpbr/ppbYour compensation /b /pullibYearly base salary revision /band global career opportunities /ul /li