Junior Data Engineer (Power BI)

Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU.

With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community.

This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Junior Data Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: Design and development of the client's Azure Data Platform to modernize and optimize critical processes.

Key activities involve migrating selected SSAS cube objects and SSIS pipelines from the on-premises SQL Server to Azure Cloud Resources while ensuring data integrity, completeness, and operational readiness of the client's data processes. Operational efficiency will be enhanced by improving the UI/UX, unifying logging, setting up monitoring and alerts, and automating Power BI reports and workspace management.

Additionally, backup strategies, cost management, and documentation will be established to ensure robust, scalable, and maintainable platform operations. Design and development of a universal data platform for global aerospace companies . This Azure and Databricks-powered initiative combines diverse enterprise and public data sources.

The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection. Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity.

The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components. 🚀 Your main

responsibilities

Write advanced SQL queries and develop database procedures. Create data visualizations using Power BI to deliver actionable insights. Design and develop ETL processes, Data Warehouses, Data Marts, and Data Lakes.

Gather and analyze requirements to design logical and physical data models. Work with various data storage and database technologies to build scalable solutions. Deploy data applications using Docker, Kubernetes, and GitHub. Take ownership of assigned tasks and actively contribute to project and product development.