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Data Engineer (Spark)

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Addepto sp. z o.o.

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Location:
Poland , Warsaw ▼

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

15120.00 - 31920.00 PLN / Month
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Job Description:

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. As a 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.

Job Responsibility:

  • Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability
  • Design and implement data pipelines that process large volumes of data in both streaming and batch modes
  • Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow
  • Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently
  • Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources
  • Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing
  • Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads
  • Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation

Requirements:

  • At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes
  • Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design
  • Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Kafka, Airflow, NiFi, Docker, and Iceberg
  • Excellent understanding of dimensional data and data modeling techniques
  • Experience implementing and deploying solutions in cloud environments
  • Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant
  • Ability to work independently and take ownership of project deliverables
  • Fluent English (at least C1 level)
  • Bachelor’s degree in technical or mathematical studies

Nice to have:

  • Experience with an MLOps framework such as Kubeflow or MLFlow
  • Familiarity with Databricks and/or dbt
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 enjoy 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

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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