Senior Big Data Engineer – Spark and Java Technologies
⚲ Warszawa
23 100 - 29 400 PLN netto (B2B)
Wymagania
- Apache Spark
- Java
- Big Data Engineering
- Python
- CI/CD
- Microservices
- Agile/Scrum
- DevOps
- Apache Airflow
- Git
Opis stanowiska
Hook – one bold sentence
Empower innovative data-driven solutions—transform the future of financial technology with your expertise!Location & Work Model
Warsaw-based opportunity with hybrid work model (3 days in the office, 2 remote)
Introduction
As a Senior Big Data Engineer, you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and fosters collaboration across multiple stakeholders. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth, offering substantial career development in the financial technology landscape.
Your main responsibilities:
• Design and develop solutions for collecting, transforming, and processing large datasets efficiently using Spark and Java
• Analyze data from various sources and translate insights into technical specifications
• Implement and industrialize reliable, scalable, and resilient data processing jobs with Spark and Java
• Conduct code reviews and collaborate with team members for continuous improvement
• Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery
• Stay current with evolving big data technologies and implement best practices
• Support applications, troubleshoot production issues, and ensure high standards of quality
• Produce comprehensive technical documentation, test plans, and project artifacts
You’re ideal for this role if you have:
• 3-5 years of professional experience in big data engineering, ideally within banking or finance
• Strong expertise in Spark and Java, with additional knowledge of Python, DevOps, CI/CD tools, and microservices
• Fluency in English (business level)
• Analytical mindset with excellent problem-solving skills
• Proactive attitude and strong teamwork capabilities across global teams
• Effective communication skills and the ability to work across different time zones
It is a strong plus if you have:
• Knowledge of Airflow, GIT, and modern data architecture strategies
• Experience with Agile methodologies and delivering solutions in fast-paced environments
Language Required for the role:
Fluent English (required)
Eligibility for the role:
Only candidates with an existing legal right to work in the European Union will be considered.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
Empower innovative data-driven solutions—transform the future of financial technology with your expertise!Location & Work Model
Warsaw-based opportunity with hybrid work model (3 days in the office, 2 remote)
Introduction
As a Senior Big Data Engineer, you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and fosters collaboration across multiple stakeholders. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth, offering substantial career development in the financial technology landscape.
Your main responsibilities:
• Design and develop solutions for collecting, transforming, and processing large datasets efficiently using Spark and Java
• Analyze data from various sources and translate insights into technical specifications
• Implement and industrialize reliable, scalable, and resilient data processing jobs with Spark and Java
• Conduct code reviews and collaborate with team members for continuous improvement
• Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery
• Stay current with evolving big data technologies and implement best practices
• Support applications, troubleshoot production issues, and ensure high standards of quality
• Produce comprehensive technical documentation, test plans, and project artifacts
You’re ideal for this role if you have:
• 3-5 years of professional experience in big data engineering, ideally within banking or finance
• Strong expertise in Spark and Java, with additional knowledge of Python, DevOps, CI/CD tools, and microservices
• Fluency in English (business level)
• Analytical mindset with excellent problem-solving skills
• Proactive attitude and strong teamwork capabilities across global teams
• Effective communication skills and the ability to work across different time zones
It is a strong plus if you have:
• Knowledge of Airflow, GIT, and modern data architecture strategies
• Experience with Agile methodologies and delivering solutions in fast-paced environments
Language Required for the role:
Fluent English (required)
Eligibility for the role:
Only candidates with an existing legal right to work in the European Union will be considered.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
🔍 Dekoder Ogłoszenia
🟡
Empower innovative data-driven solutions—transform the future of financial technology with your expertise!
To marketingowy slogan, który nie precyzuje konkretnych zadań ani technologii, ale ma na celu przyciągnięcie uwagi.
🔴
substantial career development in the financial technology landscape.
Może oznaczać zarówno realne możliwości rozwoju, jak i po prostu pracę w branży fintech, która sama w sobie jest dynamiczna.
🔴
contribute to building and optimizing a cutting-edge data platform
Może oznaczać pracę nad nowymi funkcjonalnościami, ale też głównie utrzymanie i poprawianie istniejących elementów platformy.
🔴
support innovative project delivery
Może oznaczać udział w innowacyjnych projektach, ale też po prostu pracę w ramach metodyki Agile, gdzie innowacyjność jest deklarowana.
🔴
troubleshoot production issues
Oznacza konieczność rozwiązywania problemów w działającym systemie, co może być czasochłonne i stresujące.