Job description

At Addepto, we believe that the only constant in life is change, so we keep developing and improving to become better at what we do every day! We act outside the box and create and deliver the best solutions in Artificial Intelligence, Machine Learning, and Big Data.

For our team, we seek a highly experienced Data Engineer who will focus mainly on designing and implementing scalable data processing architectures. The position requires a strong consulting approach, as you will be actively engaged in client-facing projects.

As a Data Engineer, you will:

  • Assist in designing and developing scalable data processing architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark and Hadoop.
  • Develop applications to aggregate, process, and analyze data from diverse sources.
  • Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
  • Manage distributed database systems such as ClickHouse, BQ, Teradata, Oracle Exadata, PostgreSQL + Citus Modeling, Star, and Snowflake schema.
  • Develop and organize data transformations using DBT and Apache Airflow.
  • Translate business requirements into technical solutions and ensure optimal performance and quality.


What you’ll need to succeed in this role:

  • Bachelor’s degree in technical or mathematical studies.
  • At least 3 years of proven commercial experience in implementing, developing, or maintaining Big Data systems.
  • Proficiency in Python.
  • Hands-on experience with Databricks and Data Governance.
  • Familiarity with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, and NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi.
  • Proven expertise in implementing and deploying solutions in cloud environments (with a preference for Azure).
  • Excellent understanding of dimensional data and data modeling techniques.
  • 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.
  • Experience with an MLOps framework such as Kubeflow or MLFlow.


Check out our recent Big Data projects:

  • Data lakes, which store terabytes of data and process Machine Learning tasks for a big telecom company.
  • Streaming applications to server data analytics in real-time for manufacturing companies.
  • Systems that support the decision-making process and help to analyze data in a unified format for controlling and operations departments.
  • Support real-time Machine Learning prediction on massive datasets, which prevents company losses for pharmaceutical companies.
  • And more!


Discover our perks & benefits:

  • Work in a team of passionate enthusiasts of Big Data & Artificial Intelligence.
  • Engage with top-tier global enterprises and cutting-edge startups on international projects, contributing to state-of-the-art AI & Big Data developments.
  • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces across Poland.
  • Accelerate your professional growth through internal career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
  • 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.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

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