Big Data Developer

• Salary up to 160 PLN net+VAT/h
• Additional benefits package (medical healthcare, sports membership, etc.)
• Possibility to cooperate with an international company with a stable market position
• Hybrid (Warsaw-based candidates): Work from the office and remotely.
• Remote (Other locations in Poland): Fully remote option available.
• Long-term cooperation
• Flexible working hours, Polish time zone

• Minimum 3-5 years of professional experience
• Fluency in English
• 3-5 years of relevant experience in Spark/Scala
• Strong expertise in Hadoop ecosystem (Spark, Scala, Hive, HDFS, SQOOP, Oozie, Hadoop)
• Basic knowledge of Jenkins, GIT, Python/Java, and SQL
• Strong problem-solving and analytical mindset
• Excellent written and verbal communication skills
• Team player with good collaboration skills
• Ability to plan and prioritize tasks effectively
• Banking background is a plus
• French language would be an asset

Responsibilities

• Global Collaboration & Proactive Engagement – Work in a worldwide setup following the follow-the-sun model, demonstrating proactivity, assertiveness, teamwork, and fluency in English.
• IT Solution Delivery & Technical Ownership – Regularly deliver IT solutions (every 2-3 weeks using Scrum), ensuring business value, ownership of assigned topics, and adherence to security, scalability, and user experience best practices.
• Technical Architecture & Big Data Integration – Analyze user needs, define technical architecture specifications, contribute to big data architecture recommendations, and ensure the seamless integration of Datalake use cases.
• Development & Continuous Delivery – Develop and implement data processing jobs (Spark/Scala), improve CI/CD pipelines (Jenkins, Sonar, Nexus, Kubernetes), and ensure high-quality, maintainable code through code reviews and best practices.
• Agile & DevOps Practices – Apply Agile Scrum methodology, participate in all ceremonies, implement Craft practices (BDD, TDD, clean code, peer programming), and follow development and DevOps standards (infra as code, branching strategy, etc.).
• Risk Management & Quality Assurance – Identify potential project risks related to costs and timelines, propose mitigation strategies, ensure adherence to testing strategies, and maintain the technical quality of the product.
• Knowledge Sharing & Technical Growth – Share expertise with team members, contribute to collective technical improvements, engage in continuous learning, and collaborate on GitHub Enterprise for code sharing.
• Support & Continuous Improvement – Monitor delivered solutions, analyze errors, support production issues, ensure smooth post-release processes, and contribute to ongoing technical and operational enhancements.