
Data Engineering Lead for Scalable Data Platforms
24 hours ago
As a key member of the ETFbook team, you will be responsible for designing and maintaining a scalable data platform using Python, .NET, and Azure Services.
About UsETFbook is a fast-paced ETF data analytics startup. We offer a cutting-edge platform providing businesses with actionable insights.
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.
We're looking for an experienced Data Engineer who can take our data platform to the next level.
Key Responsibilities- Design, build, and maintain ETL/ELT pipelines using technologies available natively on Azure (e.g., Data Factory, Databricks).
- Develop and optimize APIs, data services, and integrations.
- Ensure system reliability, security, and performance.
- Automate infrastructure deployment and management using tools such as Azure DevOps, ARM templates, and Azure CLI.
- Collaborate with engineers and analysts to enable seamless data flows.
- Implement monitoring and observability solutions (Azure Monitor, Application Insights).
- Data engineering experience.
- Strong proficiency in C# and Python.
- Experience with Azure Data Lake and Azure Services.
- Knowledge of REST API design.
- Excellent communication skills.
- 100% remote work within the European time zone.
- Exciting growth opportunities in a fast-paced startup.
- Competitive contract.
- Collaborative and innovative work culture.
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