3 hours ago
Remote, EMEASenior
Responsibilities
- Design and develop scalable Python data ingestion pipelines for file-based and API sources.
- Build and maintain backend components for data processing, validation, and integration.
- Design and develop APIs using Python and Django.
- Implement data quality, validation, and error-handling mechanisms.
- Design and maintain data models and work with cloud data platforms and warehouses.
- Develop and maintain automated data-quality tests.
- Use workflow orchestration tools such as Airflow and contribute to CI/CD pipelines and application environment configuration.
- Ensure solutions are reliable, maintainable, scalable, and production-ready.
- Write technical documentation and operational runbooks.
- Collaborate with engineers and stakeholders to translate requirements into solutions.
- Use AI-assisted development tools and workflows in daily software delivery.
Requirements
- At least 4 years of commercial experience in backend engineering, data engineering, or production data-intensive systems.
- Strong Python programming skills and sound software engineering practices.
- Commercial experience with Django and building APIs.
- Experience designing and developing data ingestion, ETL, or ELT pipelines from file-based and API sources.
- Experience with modern cloud data platforms or warehouses such as Snowflake or Databricks.
- Working knowledge of AWS, Azure, or GCP.
- Experience with Airflow or an equivalent workflow orchestration tool.
- Strong understanding of data validation, data quality, and error-handling design.
- Experience working with CI/CD and production environments.
- Ability to work independently and own technical deliverables.
- Experience using AI coding assistants or AI-supported development workflows.
- Excellent communication, technical documentation, and English-language skills at least at C1 level.
Benefits
- Flexible work arrangements with remote work or access to 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 speak at conferences, write for the company blog, and participate in meetups.
- Dedicated onboarding buddy and a supportive, autonomous culture.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksDjangoGoogle BigQueryGoogle Cloud PlatformPythonSnowflake
Categories
BackendData 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.