Junior Data Engineer, Power BI

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

👻 Ghost score 18%

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Addepto

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Addepto is a company specializing in Artificial Intelligence and Machine Learning solutions tailored for various industries. They offer AI consulting, MLOps consulting, and data engineering services, providing comprehensive AI-driven strategies and applications. Addepto focuses on implementing sophisticated AI technologies such as Generative AI, computer vision, and large language models to solve complex business problems. They cater to industries like finance, aviation, retail, and logistics, among others, enhancing operations and decision-making processes.

📋 Description

• Work with a team of technology experts on challenging projects across various industries • Design and develop clients’ Azure Data Platforms • Migrate SSAS cube objects and SSIS pipelines from on-premises SQL Server to Azure Cloud Resources • Ensure data integrity, completeness, and operational readiness of data processes • Improve UI/UX, unify logging, set up monitoring and alerts • Automate Power BI reports and workspace management • Establish backup strategies, cost management, and documentation • Design and develop universal data platforms for global aerospace companies using Azure and Databricks • Design platform architecture and processes and support technology selection • Implement data catalogs using Databricks and Apache Spark/PySpark • Develop secure integration solutions and data quality monitoring using Delta Live Table tests • Write advanced SQL queries and develop database procedures • Create Power BI data visualizations and 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 • Own assigned tasks and contribute to project and product development

🎯 Requirements

• 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, including twelve-factor applications • Familiarity with microservices architecture • Experience with 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

🏖️ 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 • Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces • Career paths and knowledge-sharing initiatives • Language classes • Sponsored training or conferences, including Databricks training materials and certifications • Team-building events • Integration budget • Work anniversary, birthday, and milestone celebrations • Medical and sports packages • Eye care • Well-being support services, including psychotherapy and coaching • Full work equipment, including a laptop and other necessary devices • Opportunities to speak at conferences, write for the company blog, or participate in meetups • Dedicated onboarding buddy

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