Data Engineer - Stableton team

We at Holycode are currently looking for a Data Engineer with strong skills and proven experience who is ready to dive into the Stableton project team, for a part-time or full-time engagement, to join our company of passionate IT professionals.

About Stableton:

Stableton is an award-winning growth equity fintech investment platform, empowering investors and shapers of tomorrow to achieve full potential. Stableton's mission is to provide superior access to growth equity and pre-IPO deals and portfolios with a focus on secondaries. Investor benefit from institutional quality investments, product innovation, bankable products with low minimums, and improved liquidity. Our fully-digital platform simplifies private market investing by identifying and aggregating unique investment opportunities and distributing them to our network of thousands of qualified investor users and institutional investors. We have raised a CHF 15 million Series A round, won the prestigious Swiss Fintech Award, and have recently launched the first-of-its-kind thematic private market portfolio product available for public distribution to retail investors. Revolutionizing an entire industry is exciting but not easy. That's why we can't do it alone.

Role Description:

The Data Team at Stableton makes information available and actionable to clients, decision-makers, and business units likewise. From user personalization to secondary market pricing, as a Data Engineer, you will be exposed to a variety of use cases across Stableton's value chain, playing a crucial role in enabling a top-notch user experience. You will directly report to the Head of Engineering and play a crucial role in Stableton's journey to provide the leading service in Alternative Investments based on data intelligence.

Key Responsibilities:

• Write data pipelines to extract, transform and load (ETL) data automatically, using a variety of traditional as well as large-scale distributed technologies.
• Write and maintain crawlers that aggregate data from various sources and make sure that data is of good quality.
• Extend and optimize the current services and applications by making large amounts of data accessible for both our analytics engineers and our clients.
• Help build a reliable, sustainable, and scalable data infrastructure.

Requirements:

• 2+ years of work experience with automated data collection and cleaning.
• You are proficient in both, Python and SQL which you will be using daily. Java/Scala is a plus.
• Reading API documentation is your daily business and REST, as well as GraphQL requests, aren't a challenge for you anymore.
• Familiarity with relational data stores (PostgreSQL, Redshift) and file storage (AWS S3) is helping you load the extracted data.
• Your analytical mindset helps you to identify and resolve bugs and performance issues promptly.
• You understand the value of collaboration within teams. You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
• Nice to have / eager to learn: DBT, Fivetran, Narrator, PowerBI
• Strongly preferred: Fintech/Investment experience

Why you'll love working here:

• Join a successful and well-funded Swiss fintech company in its early innings, conquering a gigantic market
• Gain deep insights into a fintech startup and alternative investments
• Highly professional, ambitious team led by serial entrepreneurs
• Familial working atmosphere in an open-minded multinational team
• All necessary equipment – up to you to decide what you prefer
• A budget for professional improvement (courses, conferences, books…)
• A budget for multi benefits platform (meal tickets, private medical insurance, private pension, etc)
• Budget for the mastery of the English and German languages
• Skilled and senior co-workers
• Opportunities to learn and grow with us