Data Engineer
ETFbook, a Swiss SaaS company providing ETF data and analytics, is hiring a remote Data Engineer (European time zone, B2B contract) to build and maintain secure ETL/ELT data pipelines on Azure using Data Factory, Databricks, C#, Python, and SQL, delivering trusted datasets to internal and external stakeholders.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of experience in data engineering with a software development background
- Strong expertise in Azure (Data Factory, Databricks, PySpark/.NET for Spark)
- Strong expertise in SQL
- Proficiency in Python, .NET (C#), and Azure for data processing
- Experience with Azure Data Analytics tools (Azure Data Lake, Synapse, Cosmos DB)
- Strong analytical and problem-solving skills
- Interest in financial data
- English fluency
Full description
Data Engineer Location: Remote (European Time Zone)
Contract Type: B2B
About Us: ETFBOOKis a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
About the role: You’ll join a highly skilled data engineering team, part of a technology department. This team develops and maintains a cutting-edge platform on Azure using most advanced technologies (e.g. Azure Databricks) to support all core business functions. Your primary goal will be building and maintaining robust, secure data pipelines and helping in defining the data model that deliver trusted datasets to internal and external stakeholders, enabling data-driven decisions across the organisation.
As a Data Engineer, you will maintain, monitor, and enhance the platform that powers our data services. You’ll work on building robust pipelines using Azure Data Lake, C# and Python while collaborating closely with data analysts and software developers.
Reporting to the Head of Technology, you’ll be a part of a collaborative team focused on data governance, engineering, and strategy. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.
Responsibilities:
- Design, build, and maintain ETL/ELT pipelines using technologies available natively on Azure (e.g., Data Factory, Databricks).
- Optimize data workflows for performance, reliability, and cost efficiency.
- Ensure data integrity and quality across multiple sources and systems.
- Collaborate with software engineers and analysts to enable real-time data processing.
- Implement best practices for data governance and security.
- Monitor and troubleshoot data pipelines using Azure Monitor and Log Analytics.
Requirements:
- 5+ years of experience in data engineering with a software development background.
- Strong expertise in Azure (Data Factory, Databricks, PySpark/.NET for Spark)
- Strong expertise in SQL.
- Proficiency in Python, .NET (C#), and Azure for data processing.
- Experience with Azure Data Analytics tools (e.g., Azure Data Lake, Synapse, Cosmos DB).
- Strong analytical and problem-solving skills.
- Interest in financial data.