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Addepto

Data Engineer (Spark)

Addepto Show all offers
15120 - 21000 PLN
B2B
Hybrid
Mid
Poznań
Kraków
Katowice
Gdańsk
+4
Expires Sep 25, 2026
24 days ago

In short

Data Engineer (Spark) role with responsibilities in developing and maintaining a high-performance data processing platform. Requires 3+ years of Big Data systems experience, strong Python/Java/Scala skills, and cloud environment knowledge. Offers B2B/full-time contract, remote/hybrid work in Poznań.

AI-written summary based on the listing content.

Technologies we use

About the project

This is how we organize our work

This is how we work

Team members

Your responsibilities

  • 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.

Our requirements

  • At least 3 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, Kafka, Data Platform, 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.

Optional

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

Division of working time

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 from various employment options: B2B, employment contracts, or contracts of mandate.
  • Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
  • 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.

Development opportunities we offer

Benefits

Published 2026-08-26
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