Senior Data Engineer – Hadoop & Spark
⚲ Krakow
26 040 - 31 500 PLN netto (B2B)
Wymagania
- DATA MODELLING
- Agile (SCRUM/Kanban)
- ETL/ELT pipelines
- Splunk
- NoSQL
- Hadoop
- Apache Spark
- CI/CD
- SQL
- Python
Opis stanowiska
Empower data-driven excellence — lead the future of enterprise analytics!
Krakow-based opportunity with hybrid work model (3 remote days per week).
As a Senior Data Engineer – Hadoop & Spark, you will be working for our client, a leading financial institution, designing and delivering robust data engineering solutions. Your expertise will help drive strategic decision-making and innovation in a fast-paced, enterprise environment. This role offers a unique opportunity to shape data architecture and expand your leadership skills at the forefront of the industry.
Your main responsibilities:
• Design and implement enterprise-grade data pipelines using Hadoop, Spark, and Splunk.
• Build and optimise ETL/ELT workflows leveraging Python for efficient data processing.
• Manage raw, structured, semi-structured, and unstructured data across SQL and NoSQL platforms.
• Oversee the full lifecycle of data ingestion, transformation, and framework development.
• Implement source control and CI/CD pipelines to ensure high-quality releases.
• Collaborate with BI and analytics teams, supporting their fast-paced data needs.
• Lead technical projects, providing mentorship to junior engineers and ensuring best practices.
• Maintain high standards of data quality, resilience, and governance through comprehensive testing.
You're ideal for this role if you have:
• At least 7 years of enterprise experience in data engineering or related roles.
• Extensive proficiency with Hadoop, Spark, and Splunk.
• Strong skills in data modelling and designing ETL pipelines using Python.
• Hands-on experience working with SQL and NoSQL data systems.
• Knowledge of CI/CD processes and source control tools.
• Proven leadership skills in technical environments, with a track record of mentoring teams.
• Excellent stakeholder management and communication capabilities.
• Solid understanding of risk management and compliance standards in enterprise settings.
It is a strong plus if you have: (optional)• Experience with agile methodologies such as Scrum or Kanban.
• Engagement with industry groups or external vendors.
Language Required for the role:
• Fluent in English, with strong communicative skills.
Eligibility to work in Europe:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
#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.
Krakow-based opportunity with hybrid work model (3 remote days per week).
As a Senior Data Engineer – Hadoop & Spark, you will be working for our client, a leading financial institution, designing and delivering robust data engineering solutions. Your expertise will help drive strategic decision-making and innovation in a fast-paced, enterprise environment. This role offers a unique opportunity to shape data architecture and expand your leadership skills at the forefront of the industry.
Your main responsibilities:
• Design and implement enterprise-grade data pipelines using Hadoop, Spark, and Splunk.
• Build and optimise ETL/ELT workflows leveraging Python for efficient data processing.
• Manage raw, structured, semi-structured, and unstructured data across SQL and NoSQL platforms.
• Oversee the full lifecycle of data ingestion, transformation, and framework development.
• Implement source control and CI/CD pipelines to ensure high-quality releases.
• Collaborate with BI and analytics teams, supporting their fast-paced data needs.
• Lead technical projects, providing mentorship to junior engineers and ensuring best practices.
• Maintain high standards of data quality, resilience, and governance through comprehensive testing.
You're ideal for this role if you have:
• At least 7 years of enterprise experience in data engineering or related roles.
• Extensive proficiency with Hadoop, Spark, and Splunk.
• Strong skills in data modelling and designing ETL pipelines using Python.
• Hands-on experience working with SQL and NoSQL data systems.
• Knowledge of CI/CD processes and source control tools.
• Proven leadership skills in technical environments, with a track record of mentoring teams.
• Excellent stakeholder management and communication capabilities.
• Solid understanding of risk management and compliance standards in enterprise settings.
It is a strong plus if you have: (optional)• Experience with agile methodologies such as Scrum or Kanban.
• Engagement with industry groups or external vendors.
Language Required for the role:
• Fluent in English, with strong communicative skills.
Eligibility to work in Europe:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
#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
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Empower data-driven excellence — lead the future of enterprise analytics!
To marketingowy slogan, który ma na celu przyciągnięcie uwagi, ale nie zawiera konkretnych informacji o codziennych obowiązkach.
🟡
This role offers a unique opportunity to shape data architecture and expand your leadership skills at the forefront of the industry.
Może oznaczać realny wpływ na architekturę danych i rozwój przywództwa, ale równie dobrze może być próbą uatrakcyjnienia standardowych obowiązków.
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leading financial institution
Praca dla dużej, stabilnej firmy, ale potencjalnie z bardziej rozbudowaną biurokracją i wolniejszymi procesami decyzyjnymi.
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fast-paced, enterprise environment
Środowisko pracy może być wymagające i dynamiczne, co może oznaczać presję czasu i potrzebę szybkiego reagowania na zmiany.
🟡
providing mentorship to junior engineers
Oprócz zadań technicznych, będziesz odpowiedzialny za wsparcie i rozwój młodszych kolegów, co może pochłaniać dodatkowy czas.