ETFBOOK

data engineer for ETF data

In short

Senior Data Engineer role leading complex data pipeline and architecture projects for ETFBOOK, a Swiss SaaS company providing data and analytics for the ETF space. Requires 8+ years in data engineering with frameworks like Spark, Databricks, dbt or Snowflake, 8+ years with Python/Java/Scala/C#, and strong big data/distributed storage experience (Delta Lake, Iceberg, HDFS). Includes mentoring junior engineers and cross-functional collaboration with Analytics, Data Science, and Product teams. Remote, full-time, B2B contract basis.

About ETFBOOK
ETFBOOK is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Its platform offers insights through a web application and APIs covering product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
Responsibilities
•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
•Work closely with Data Analytics, Data Science, Product, and engineering teams
•Mentor junior engineers and provide technical guidance
•Drive improvements in performance, reliability, security, and cost optimization of the data platform
Requirements
•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 or financial data products
•Data modelling and data architecture concepts including database normalization, dimensional modelling (star schema) and/or Data Vault modelling
•Code quality, data quality and automated testing practices using Great Expectations (GX), dbt Tests, Deequ/PyDeequ or similar frameworks
•Familiarity with data platform architecture, data governance best practices, security principles and data observability
Conditions
•Contract; B2B contract
•Competitive B2B contract
•Growth opportunities in a fast-paced startup
•Opportunity to influence live projects and deliver measurable results in real-world applications
•Collaboration with professionals in technology and finance, with experimentation and creativity encouraged
•Team-building events at least twice a year in various European locations

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