Addepto
Addepto
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Junior Data Engineer (Power BI)

7000 - 12.6k PLN/ mies.B2B
JuniorFull-time·B2B
#436651·Dodano 7 dni temu·15
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonSQLETLPower BICI/CDAzure Data FactorydbtAzureDatabricks

Firma i stanowisko

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. It focuses exclusively on Artificial Intelligence and Big Data, helping organizations unlock data potential. Addepto developed its own product, ContextClue, and contributes open-source solutions to the AI community. It is part of KMS Technology, combining AI specialization with enterprise-scale delivery capabilities.

Wymagania

  • Bachelor’s degree in technical, mathematical, or economic fields.
  • Minimum 1.5 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.

Nice to have:

  • Experience with CI/CD.
  • Knowledge of Azure Data Factory, dbt, Azure, and Databricks.

Obowiązki

  • 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 contribute to project and product development.

Benefity

  • Work in a supportive team of AI & Big Data enthusiasts.
  • Engage with global enterprises and startups on international projects.
  • Flexible work arrangements including remote and coworking spaces.
  • Career paths, knowledge-sharing, language classes, and sponsored training or conferences.
  • Partnership with Databricks for training materials and certifications.
  • Team-building events and integration budget.
  • Celebrations of work anniversaries, birthdays, and milestones.
  • Access to medical and sports packages, eye care, psychotherapy, and coaching.
  • Full work equipment including laptop and devices.
  • Opportunities to boost personal brand via conferences, blogs, and meetups.
  • Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria.
  • International projects, Paid leave, Training budget, Language classes.
  • Flexible employment forms, flexible working hours, and remote work possibility.
  • Free coffee and in-house trainings.
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