Data Engineering Specialist
5 days ago
About ETFbook
We are a dynamic technology department developing a cutting-edge platform on Azure to support core business functions. Our team is seeking an experienced Data Engineer to build and maintain robust, secure data pipelines delivering trusted datasets to internal and external stakeholders.
As a key member of our data engineering team, you will focus on designing, building, and maintaining ETL/ELT pipelines using technologies available natively on Azure. You will work closely with software engineers and analysts to enable real-time data processing and implement best practices for data governance and security.
You will join a highly skilled team working on a top-notch data analytics platform. Your primary goal will be to help revolutionise the ETF data market by designing and implementing efficient data workflows that meet performance, reliability, and cost efficiency standards.
Your Responsibilities:
- Design and Implement ETL/ELT Pipelines: Utilize Azure Data Factory, Databricks, and other native Azure technologies to develop efficient and scalable data pipelines.
- Optimize Data Workflows: Collaborate with software engineers and analysts to optimize data workflows for performance, reliability, and cost efficiency.
- Data Integrity and Quality: Ensure data integrity and quality across multiple sources and systems by implementing robust data validation and monitoring processes.
- Collaboration and Communication: Work closely with cross-functional teams to deliver data-driven insights and collaborate with stakeholders to understand their needs and requirements.
- Best Practices for Data Governance: Implement industry-standard best practices for data governance, security, and compliance throughout the data pipeline lifecycle.
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.
What We Offer:
- A collaborative and innovative work culture.
- 100% remote work within the European time zone.
- Competitive B2B contract.
- Exciting growth opportunities in a fast-paced startup.
- Purpose-driven mission: be part of a team dedicated to creating a top-notch data analytics platform.
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