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Senior Data Engineer (Hadoop, Spark)

Summary

Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.

Location: Kraków, PL, 30-302

Working place: Hybrid

Working Location:

Type of contract: Employment contract
Salary range: 15800-24300 PLN gross/month

What will you do?


You will work as a key member of a technical team alongside Engineers, Data Analysts and Business Analysts, contributing to a collaborative Agile development process while designing, developing and maintaining scalable data solutions in a dynamic DevOps environment.

  • Define and contribute to software design and development using Pyspark
  • Automate testing of new and existing components
  • Promote development standards through code reviews and mentoring
  • Provide production support and troubleshooting
  • Implement tools and processes ensuring performance, scalability and monitoring
  • Collaborate with Business Analysts to interpret and implement requirements
  • Participate in planning, sprint reviews and retrospectives
  • Contribute to system architecture and design
  • Experience with Pyspark or Scala development and design
  • Experience using scheduling tools such as Airflow
  • Knowledge of Hadoop ecosystem including Spark, Hive, YARN and ETL frameworks
  • Strong SQL and RESTful services knowledge
  • Experience working on Unix or Linux platforms
  • Hands-on experience building data pipelines using Hadoop components
  • Experience with Git, GitHub, Jenkins, Ansible and JIRA
  • Understanding of big data modelling using relational and non-relational techniques
  • Experience debugging code and communicating findings to development teams

Nice to have

  • Experience with Elasticsearch
  • Understanding of cloud design patterns
  • Exposure to DevOps and Agile methodologies such as Scrum and Kanban
  • Experience with Spark streaming
  • Experience with Apache Airflow in production
  • Experience with Hadoop ecosystem in enterprise environments
  • Knowledge of Python backend services
  • Experience with Scala for high performance systems
  • Experience in data integration and ETL processes
  • Knowledge of PL/SQL
  • Experience with Linux and Unix system operations

We offer

  • Hybrid work in Krakow (2 office days per week)
  • Working in a highly experienced and dedicated team
  • Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
  • Online training and certifications
  • Access to e‑learning platform
  • Social events

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

  • A culture of top performance
  • Deep tech IT engineering & consulting
  • 1200 skilled & top-class experts
  • 77% of the team are regular/senior
  • Products that contribute to a sustainable world
  • Competitive salary and benefits
  • Ambitious projects, trainings and tools you need to flourish
  • Google Cloud Partner of the Year - for going above and beyond for customers

See also