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Analytics Engineer at Lovable | Stockholm

LovableStockholm
On-site Full-time

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Experience Level

Experience

Qualifications

What We Are Looking For:Proficient in SQL, dbt, SQLMesh, or similar tools focused on data modeling, testing, macros, and documentation. Experience with data warehousing concepts and cloud warehouses (such as Snowflake, BigQuery, Redshift, Databricks) as well as BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc). In-depth understanding of dimensional modeling, data contracts, and metrics/semantic layers. Familiar with modern ELT and orchestration workflows (e.g., Airflow, Dagster, Prefect). Strong business insight and the ability to translate domain logic into scalable data structures.

About the job

TL;DR - We are on the hunt for talented Analytics Engineers to take charge of the semantic and modeling layer of our data warehouse. Your mission will be to convert raw data into reliable, well-defined datasets and metrics. If you are passionate about analytical consistency, designing meaningful metrics, and establishing robust frameworks for self-service analytics, we want to meet you!

Why Join Lovable?

At Lovable, we empower individuals and teams to create software using plain English. From entrepreneurs to Fortune 100 companies, millions rely on Lovable to transform their innovative ideas into real products quickly. We are leading a pivotal change in software development, offering you a unique chance to impact the digital landscape. With over 2 million users across 200+ countries, Lovable is helping launch businesses, streamline workflows, and bring ideas to life. And this is just the beginning.

Our compact yet highly skilled team is building a generationally significant company from the heart of Stockholm. We value accountability, speed, and collaborative humility. We seek individuals who are deeply passionate, act quickly, and are eager to make a mark in the world.

Your Role:

  • Design and maintain data models using modular, tested, and version-controlled approaches.

  • Collaborate with domain teams to grasp business logic and translate it into reusable models and metrics.

  • Establish and document essential metrics and data contracts across various domains.

  • Work alongside Data Platform Engineers to enhance query performance and manage warehouse costs effectively.

  • Automate and oversee data documentation, lineage, and governance standards.

  • Create best practices for analytics development, data modeling, and structural conventions.

About Lovable

Lovable is revolutionizing the way software is created, allowing users to build applications using plain English. With a diverse user base that ranges from individual entrepreneurs to large corporations, Lovable is at the forefront of a transformative shift in software development. Our team in Stockholm is dedicated to fostering an environment of collaboration and innovation, making it a great place for passionate individuals to thrive.

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