data engineer in fintech

ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions for the Exchange Traded Funds market. Its platform delivers ETF insights through a web application and APIs, covering product analysis, fund flows, performance comparisons, and liquidity assessments for institutional participants.

• Lead complex data engineering projects and pipeline development;
• Design scalable, secure, and high-performance data architecture;
• Define engineering standards and best practices for data pipelines;
• Collaborate with Data Analytics, Data Science, Product, and engineering teams;
• Mentor junior engineers and provide technical guidance;
• Drive improvements in data platform performance, reliability, security, and cost optimization.

• 8+ Years of professional experience in Data Engineering;
• Excellent knowledge of one or more data processing and analytics frameworks, such as Apache Spark, Databricks, dbt, Snowflake, or similar technologies;
• 8+ Years of professional experience with an object-oriented or functional programming language, such as Python, Java/Scala, or C#;
• Strong knowledge of big data and distributed storage technologies, such as Delta Lake, Apache Iceberg, HDFS, or similar platforms;
• Strong understanding of data governance, security, and performance optimization;
• Experience delivering complex data engineering projects;
• Strong communication and stakeholder management skills;
• Experience leading cross-functional projects;
• Ability to mentor junior engineers;
• Ability to provide technical leadership and work independently;
• English B2;
• Nice to have: Experience with ETF (Exchange-Traded Fund) data or financial data products, experience applying data modelling and data architecture concepts including database normalization, dimensional modelling (star schema), and/or Data Vault modelling, experience implementing code quality, data quality, and automated testing practices using tools such as Great Expectations (GX), dbt Tests, Deequ/PyDeequ, or similar frameworks, familiarity with data platform architecture, data governance best practices, security principles, and data observability.

• 100% Remote work from anywhere within the European time zone;
• Competitive B2B contract;
• Exciting growth opportunities in a fast-paced startup;
• Team-building events at least twice a year, hosted in various European locations.