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  • Junior Data Engineer (Power BI)
    New
    Data

    Junior Data Engineer (Power BI)

    Warszawa
    1 448 - 2 897 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Junior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Power BI

      advanced

      ETL/ELT

      advanced

      English

      advanced

      SQL

      advanced

      Python

      advanced

      Azure

      regular

    Job description

    Online interview
    Friendly offer

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


    🎯 What you’ll need to succeed in this role:

    • Bachelor’s degree in technical, mathematical, or economic fields.
    • Minimum 2 years of experience in implementing, developing, or maintaining Data Warehouse, Business Intelligence, or Big Data systems.
    • Strong understanding of data processing and ETL/ELT techniques.
    • Proficiency in SQL and Python for data processing.
    • Hands-on experience with Power BI for data visualization.
    • Solid understanding of Azure services for cloud-based data solutions.
    • Familiarity with web application design principles (twelve-factor applications) and microservices architecture.
    • Experience with modern development tools, including Git and CI servers.
    • Independent and responsible approach to delivering high-quality solutions.
    • Proactive mindset with strong organizational and time-management skills.
    • Excellent command of English (at least C1 level).
    • Interest in developing as a Data Engineer.


    🎁 Discover our perks & benefits:

    • Work in a supportive team of passionate enthusiasts of AI & Big Data.
    • Engage with top-tier global enterprises and cutting-edge startups on international projects.
    • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 
    • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
    • Choose from various employment options: B2B, employment contracts, or contracts of mandate.
    • Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
    • Participate in team-building events and utilize the integration budget.
    • Celebrate work anniversaries, birthdays, and milestones.
    • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
    • Get full work equipment for optimal productivity, including a laptop and other necessary devices.
    • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
    • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.


    Are you interested in Addepto and would like to join us?


    Get in touch! We are looking forward to receiving your application. Would you like to know more about us?

    Visit our website (career page) and social media (FacebookLinkedInInstagram). 

    1 448 - 2 897 USD

    Net/month - B2B

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