Data Engineer

Summary

Join Holycode's Stableton project team as a Data Engineer, contributing to an award-winning fintech platform. This part-time or full-time role involves building and maintaining data pipelines, ensuring data quality, and optimizing data accessibility for clients and internal teams. You will work with various technologies and collaborate effectively within a team. The position requires experience with data collection, Python, SQL, and relational databases. Holycode offers a supportive and collaborative work environment with benefits such as professional development budget, multi-benefits platform, and language learning support.

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
• 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

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

Preferred Qualifications

• DBT, Fivetran, Narrator, PowerBI
• Fintech/Investment experience

Benefits

• 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