Data Engineer @ BrokerChooser

1 week ago


Remote, Czech Republic BrokerChooser Full time
  • 3+ years of relevant Data and Software Engineering experience, with strong proficiency in Python
  • A business and impact focused mindset, not afraid of big data sets, can independently draw conclusions and take the initiative
  • Excellent communication skills and the ability to present data-driven insights to non-technical stakeholders
  • Working proficiency in English; no exam is needed, but interviews and tests might be conducted in English
  • Proven experience in building and maintaining ETL pipelines
  • Strong SQL skills
  • Familiarity with cloud computing services, particularly GCP and AWS.
  • Experience with data warehouse solutions (eg. BigQuery, Redshift, Snowflake)
  • Proficient in BI tools (e.g., Tableau, Metabase, Power BI) and data visualization best practices


If you're ready to dive into the world of data and tackle exciting challenges that shape our business decisions, BrokerChooser is the place for you. We are eager to welcome a skilled Data Engineer with a passion for data-driven solutions to our team. 

Here, your contributions will play a crucial role in optimizing our data infrastructure and influencing our strategic direction. Join us and help pave the way for data innovation that drives our success

What do we do?

In today's fast-paced FinTech landscape, we stand out as a leading global platform for brokerage comparison and financial education. Based in Budapest, Hungary, we’re here to guide individual investors all over the world with clear, unbiased, and thorough reviews of brokerage services worldwide.

Founded by finance professionals, we combine cutting-edge AI and Data Science with expert analysis to compare over 100 brokers, catering to diverse investment needs. We are a tight-knit team of 45 professionals, growing at an impressive annual rate of 50%, all while being completely bootstrapped. Our goal? To hit $4 million in annual recurring revenue (ARR) by 2024, with a potential to grow 30 times over.

Our insights are regularly featured in top-tier publications like Bloomberg, Financial Times, Forbes, and CNBC. Our innovative approach has earned us the title of Best Fintech Startup in Hungary by CESA. Plus, the feedback we provide is often implemented by industry leaders like Interactive Brokers.

We’re proud to serve nearly 700,000 monthly users across more than 200 countries, offering personalized advice in over 50 languages, saving over 10,000 people from scams every month.


,[Develop and maintain scalable, efficient data pipelines that integrate data from diverse sources, Leverage data scraping and API solutions to gather and enhance our datasets, enriching our analytical capabilities, ​​Create comprehensive reports that communicate findings clearly to stakeholders and facilitate data-driven decision-making, Actively provide insights and strategic recommendations based on deep data analysis, Evaluate A/B tests rigorously and analyze results, Assist in user research to understand customer behavior, preferences, funnel flow, contributing to product development, Develop statistical models, such as linear regression, to support forecasting, trend analysis, and strategic decision-making, Partner with our senior data expert on AI-based tasks and furthering our innovative capacities] Requirements: Python, Big Data, CAN, Communication skills, ETL, SQL, Cloud computing, GCP, AWS, Data warehouse, BigQuery, Redshift, Snowflake, BI, Tableau, Data visualization Additionally: Flat structure, Small teams, No dress code, Startup atmosphere, In-house hack days.

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