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Data Engineer (Power BI)

fully flexible
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Experience in Azure Data Platforms, Proficiency in SQL and ETL processes, Familiarity with Power BI and data visualization, Knowledge of Docker, Kubernetes, and GitHub.

Key responsabilities:

  • Build and deliver reports using Power BI
  • Design and optimize ETL/ELT processes
Addepto logo
Addepto Startup http://www.addepto.com
51 - 200 Employees
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Job description

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a 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:

  • Build and deliver advanced data visualizations and reports using Power BI to support strategic decision-making.

  • Write and fine-tune advanced SQL queries and develop database procedures for performance optimization.

  • Design and optimize complex ETL/ELT processes, Data Warehouses, Data Marts, and Data Lakes.

  • Gather and analyze requirements to design logical and physical data models.

  • Utilize a variety of data storage and database technologies to implement and maintain robust solutions.

  • Deploy and manage data applications in production environments using Docker, Kubernetes, and GitHub.

  • Take ownership of assigned tasks and actively contribute to project and product development.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Problem Solving

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