almost 2 years ago
Remote, PolandMid Level
Responsibilities
- Design scalable data processing pipelines for streaming and batch processing using Databricks, Airflow, and/or Dagster.
- Contribute to CI/CD and MLOps processes.
- Develop applications that aggregate, process, and analyze data from diverse sources.
- Collaborate with Data Science teams on machine learning projects involving text analysis, image analysis, and predictive modeling.
- Develop and organize data transformations using Databricks, DBT, and Apache Airflow.
- Design and implement data governance and data management processes.
- Translate business requirements into technical solutions while ensuring performance and quality.
- Build and deploy solutions in cloud environments, preferably Azure.
- Develop and deploy Power BI reports and dashboards for data visualization.
- Interact directly with clients and take ownership of project deliverables.
Requirements
- At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems.
- Strong Python programming skills, including clean code and object-oriented design.
- Experience designing and implementing data governance and data management processes.
- Familiarity with Airflow or Dagster, Databricks, Spark, and DBT.
- Experience implementing and deploying solutions in cloud environments, preferably Azure.
- Knowledge of building and deploying Power BI reports and dashboards.
- Strong understanding of dimensional data and data modeling techniques.
- Excellent communication skills and consulting experience with direct client interaction.
- 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.
Benefits
- Supportive team focused on AI and Big Data with international enterprise and startup projects.
- Flexible work arrangements with remote work or access to modern offices and coworking spaces.
- Career development paths, knowledge-sharing initiatives, language classes, sponsored training, and conferences.
- Access to Databricks and Anthropic training materials and certification programs.
- Team-building events and an integration budget.
- Medical and sports packages, eye care, psychotherapy, coaching, and other well-being support.
- Full work equipment, including a laptop and other necessary devices.
- Opportunities to build a personal brand through conferences, blog writing, and meetups.
- Dedicated onboarding buddy and a friendly, supportive, autonomous culture.
Tech Stack
Categories
Data Engineering
About Addepto
Addepto provides AI consulting and data engineering services for enterprises, covering machine learning, generative AI, MLOps, NLP, and computer vision, and also develops ContextClue, an AI-driven knowledge management platform for industrial engineering. Founded in 2018 and headquartered in Warsaw, it operates as a privately held company within KMS Technology. The firm engages across sectors such as manufacturing, finance, e-commerce, and real estate to move AI initiatives from discovery to production.