Hadoop Data Engineer

Join us, and transform massive data into meaningful insights!

Kraków – based opportunity with hybrid work model (2 days/week in the office).

As a Hadoop Data Engineer, you will be working for our client, a globally recognized financial institution driving innovation in digital infrastructure and data intelligence. You will be contributing to the development and deployment of large-scale, cloud-based data solutions that support business-critical analytics and data processing. Working within a hybrid model and cross-functional teams, you will play a key role in transforming traditional data platforms into scalable, automated, and high-performance environments on a modern tech stack including GCP, Hadoop, Spark, and Scala.

Your main responsibilities: Designing and deploying distributed data processing systems using Hadoop and Spark

• Developing and optimizing data pipelines using Airflow and Scala
• Integrating data platforms with GCP services such as BigQuery and Dataflow
• Collaborating with DevOps teams to implement CI/CD pipelines using Jenkins
• Building automated workflows to support data ingestion, transformation, and storage
• Writing and maintaining high-performance SQL queries and scripts
• Monitoring data pipeline performance and troubleshooting issues proactively
• Supporting data migration projects from on-prem to cloud-based environments
• Applying best practices for code versioning, testing, and deployment
• Working closely with stakeholders to understand data requirements and propose scalable solutions

You’re ideal for this role if you have:

• 5+ years of hands-on experience with Hadoop ecosystem (HDFS, Hive)
• Strong programming skills in Scala and experience with Apache Spark
• Proven experience working with Google Cloud Platform services
• Proficiency in building and scheduling workflows using Apache Airflow
• Expertise in writing complex SQL queries and data transformation logic
• Familiarity with DevOps tools such as Jenkins, Git, and GitHub
• Understanding of distributed data architectures and big data modeling techniques
• Experience with automated unit and integration testing practices
• Strong debugging skills and the ability to analyze technical code at scale
• Excellent communication and teamwork skills in a global environment

It is a strong plus if you have:

• Hands-on experience with Google Cloud tools like Cloud Dataflow, DataPrep, and Composer
• Background in data visualization tools such as Tableau
• Exposure to Enterprise Data Warehouse technologies
• Experience in customer-facing roles and stakeholder engagement
• Familiarity with agile methodologies such as Scrum or Kanban

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6965