Website Addepto
Driving changes through AI & Data solutions
Join a leading AI and data engineering company and build scalable data platforms for global enterprises. This role is ideal for early-career data engineers who want to work with modern big data tools and contribute to impactful, real-world projects.
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About the Company
Addepto is a globally recognized AI and data engineering firm delivering scalable, ROI-driven solutions for enterprises and fast-growing startups. The company works with leading brands such as Rolls-Royce, Porsche, and ABB, helping them unlock the full value of their data.
Recognized by Forbes as one of the top AI consulting companies worldwide, Addepto combines deep technical expertise with real-world business impact.
About the Role
As a Junior Data Engineer, you will work on building and optimizing modern data platforms using technologies like Databricks, Apache Spark, and cloud services. You will collaborate with experienced engineers and data scientists to deliver scalable solutions across industries such as automotive, aerospace, and energy.
This is a great opportunity to grow your skills in data engineering, machine learning pipelines, and cloud-based architectures.
Key Responsibilities
Data Engineering & Pipeline Development
- Design and develop scalable data pipelines for both batch and real-time processing
- Build and maintain data processing systems using Databricks and Apache Spark
- Aggregate and transform data from multiple sources for analysis and reporting
Cloud & Big Data Technologies
- Work with cloud platforms (primarily Azure) to deploy data solutions
- Implement data transformation workflows using tools like Airflow or DBT
- Optimize data models for performance, scalability, and accuracy
Collaboration & Machine Learning Support
- Partner with data scientists to support ML model development and deployment
- Assist in building data pipelines for AI and analytics use cases
- Translate business requirements into technical solutions
DevOps & DataOps
- Contribute to CI/CD pipelines for data and ML workflows
- Support infrastructure automation using tools like Terraform
- Ensure data quality, governance, and monitoring processes
Requirements / Skills
- 1+ year of experience working with Big Data or data engineering systems
- Hands-on experience with Databricks, Apache Spark, Airflow, or DBT
- Strong programming skills in Python (clean code and OOP principles)
- Experience working with cloud environments (preferably Azure)
- Understanding of data modeling and data governance practices
- Familiarity with CI/CD pipelines and DevOps practices
- Strong problem-solving and communication skills
Preferred Qualifications
- Experience with Power BI or data visualization tools
- Exposure to machine learning workflows and MLOps
- Consulting or client-facing experience
- Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, etc.)
Work Environment / Benefits
- Flexible remote work or office options across Europe
- Competitive compensation (PLN 8,400 – 15,120 B2B)
- Work with global enterprises on high-impact projects
- Access to Databricks training and certifications
- Career development, mentorship, and learning programs
- Health, wellness, and sports benefits
- Modern equipment and supportive onboarding experience
- Collaborative, innovation-driven team culture
How to Apply
Apply directly through the official job page:
https://addepto.com/career/junior-data-engineer-databricks/
Note: Applications are handled on the employer’s official website. WorkinVirtual is not responsible for the hiring process.