Data Engineer

FINQ is on a mission to democratize investment and pension management by replacing outdated, conflicted systems with AI-driven financial products and services. We deliver transparent, personalized digital solutions across the U.S. and Israel. Founded by Nir Zuk and Eldad Tamir, FINQ is transforming the way people invest and manage their pensions. Job Description We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery. Key Responsibilities: Own our data pipelines, including maintenance and adding new features. Take charge of data integrity and completeness, including writing and maintaining tests. Improve process efficiency and optimize runtime performance. Own schema design and evolution across our data pipelines. Requirements: 3-4 years of experience with SQL (Postgres is a plus), data modeling, data warehousing, and building ELT/ETL pipelines in cloud environment – MUST Proven experience in Python Deep understanding of distributed data processing architecture and orchestrating tools such as Airflow Familiarity with big data technologies is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Location and Work Environment: This position is based in our Tel Aviv office (Rothschild St. Area) We prioritize in-office work to foster collaboration and team synergy (4 days a week from office)