Data Engineer

Tasks:

• As a Scrum team member, you will develop and maintain an Enterprise Data Warehouse together with architects, requirement engineers, data engineers, data scientists, and business specialists
• The deliveries are potentially shippable increments (code or configuration) inside the Scrum methodology according to the backlog given by the Product Owner.

Requirements:

• Advanced knowledge of data warehousing principles and build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Experience in troubleshooting and maintenance production issues, process chains, and ETL
• At least 5-7 years of working experience with Analytics & BI tools and services, preferably in the Microsoft stack like Azure SQL, Data Lake, ADF, Snowflake, Databricks, SSIS, Premium Capacity, and Power BI
• Experienced in designing and building ETL/ELT tracks
• A technical background with an understanding of how to build analytics solutions
• Experienced in building and maintaining APIs
• Data modeling expertise is beneficial
• Familiarity with CI/CD, automatic testing, and version control in Azure DevOps, ARM, GIT, or similar
• Hands-on experience with IT Architecture guidelines & principles

Nice to have:

• Nice to have are examens like PL-300: Microsoft Power BI Data Analyst, PL-900: Microsoft Power Platform Fundamentals or AZ-900: Microsoft Azure Fundamentals
• Proven experience in working with Agile
• Proficiency in spoken and written English is required. Dutch, German, Swedish, or Polish are beneficial
• Ideally, you already have a good understanding of utility business processes and their IT landscape (SAP ERP, IAM, infrastructure, and security regulations like GDPR)

We offer:

• 100% remote work;
• Payment fixed in dollars;
• Flexible working hours
• Competitive wages;
• Opportunity for professional growth;
• Work in a friendly professional International environment.