Junior Data Engineer Job at Addepto sp. z o.o. (Warsaw)

Job Description

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 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. Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.

Job Responsibility

Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster
Contribute to the development of CI/CD and MLOps processes
Develop applications to aggregate, process, and analyze data from diverse sources
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building
Develop and organize data transformations using Databricks/DBT and Apache Airflow
Translate business requirements into technical solutions and ensure optimal performance and quality

Requirements

At least 1 year of proven commercial experience developing, or maintaining Big Data systems
Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT
Strong programming skills in Python: writing a clean code, OOP design
Experience in designing and implementing data governance and data management processes
Experience implementing and deploying solutions in cloud environments (with a preference for Azure)
Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization
Excellent understanding of dimensional data and data modeling techniques
Excellent communication skills and consulting experience with direct interaction with clients
Ability to work independently and take ownership of project deliverables
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

What we offer

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 your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off
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

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Junior Data Engineer

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