Senior Python Engineer – Data Extraction

Senior Python Engineer – Data Extraction Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. About the Data Extraction team Our Document Extraction team turns unstructured financial content into reliable, structured knowledge. We work with financial filings, earnings call slide decks and earnings call transcripts. The goal is not just to pull text off a page, but to understand what a document means, structure it cleanly, and produce knowledge that downstream teams and products can trust. We are looking for a Senior Engineer to own the extraction and structuring pipelines end to end. You will design the systems that ingest messy, real-world documents and output accurate, well-modeled data at scale. This is a hands-on engineering role with deep ownership, suited to someone who is equally comfortable building robust pipelines and reasoning about data quality. Who you are 5+ years of professional experience as a backend engineer with a focus on Python Hands-on experience with NLP and large language models, including prompting, fine-tuning, or retrieval-based approaches. Practical experience with document AI, OCR, or information extraction from PDFs and other unstructured formats. Experience designing data schemas and building pipelines that produce structured, validated output. Tech Knowledge of ETL processes and data engineering workflows for data ingestion Solid backend architecture skills for creating scalable and maintainable systems Experience working with AWS Proficiency with Docker for managing and deploying backend services What we offer Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. Real ownership: We believe in shared success. Every team member gets equity exposure, so we all benefit from the value we create. Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden. Note: We are not seeking assistance from consultants or recruitment agencies. Department Engineering Locations Stockholm, Gothenburg Remote status Hybrid