Senior Analytics Engineer

About us

At Legora, we’re on a mission to transform the way lawyers work. Our AI-native platform lets legal professionals enhance their productivity and automate complex workflows. We collaborate closely with our clients and iterate at a market-leading pace. In a year, we have gone from an early MVP to tools used daily by thousands of lawyers, and are now scaling rapidly. We are here to win together with our team and clients, and carry the belief that life is too short not to accomplish something truly special.

You are joining an early stage scale-up with exceptional product-market fit, trusted by global leaders like Bird & Bird, Pérez-Llorca, and Mannheimer Swartling. Backed by over $100M in funding from top investors including Benchmark, Redpoint, and Y Combinator. And a a world-class team from Google, Klarna, Spotify, and top tier law firms with infinite room to grow professionally.

The role

As a Senior Analytics Engineer you will build and scale our data foundations at Legora. You will be responsible for developing our data warehouse, designing and maintaining robust (analytical) data pipelines, and unlocking insights that drive product and business decisions.
This is a key role that sits at the intersection of engineering, analytics, and product — owning the systems that transform raw data into actionable insights. Your work will power decision-making across the company and help us scale faster and smarter.

What you will be doing:

• Design, build, and maintain scalable, reliable data pipelines and data infrastructure.
  
• Develop and optimize our data warehouse and intuitive, well-documented data models to support analytics, reporting, self-service, and AI-driven initiatives.
  
• Ensure data quality, consistency, and reliability through validation, monitoring, and testing tools.
  
• Work cross-functionally with stakeholders from Marketing, Sales, Finance, and other teams to define key metrics and deliver actionable insights.
  
• Build and maintain dashboards and automated reporting systems.
  
• Identify patterns, trends, and opportunities through exploratory analysis and deep dives across the organization.
  
  

Who you are

• Solid experience in a data engineering, analytics engineering, or similar technical analytics role.
  
• Experience with SQL, dbt, Python, modern BI tools, and hands-on experience with Snowflake (or similar cloud data warehouses).
  
• Deep understanding of data modeling, ELT best practices, and building systems that are reliable and scalable.
  
• A collaborative, curious mindset with the confidence to work independently and challenge assumptions
  
• Excited to partner directly with business stakeholders and drive decisions through data.
  
• But most importantly, you are someone who
  • “Gets stuff done” and understands building a $10bn company isn’t always glamorous and takes hard work and long hours
    
  • Strives in a fast-paced environment where the answers aren’t always clear and processes are few
    
  
  

What's in it for you

• Career development opportunities in a rapidly evolving entrepreneurial environment.
• Direct collaboration with senior leadership and the opportunity to directly impact company growth and strategy.
• A collaborative, high-energy team environment where your ideas and contributions are valued and implemented.
• Competitive salary complemented with a transparent and highly competitive options program.
• Centrally located offices in Stockholm, designed as a space for you to do your life's work.