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Senior Data Engineer – Big Data & Cloud Integration
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Описание вакансии
Текст:
TL;DR
Senior Data Engineer – Big Data & Cloud Integration (Hadoop/Spark): Developing and enhancing a Hadoop-based application that centralizes and normalizes sensitivities for financial risk management and data analytics, with an accent on distributed data processing, system integration, and application reliability. Focus on improving Hadoop workflows, integrating downstream applications, and delivering production features across the full software development lifecycle.
Location: Lisbon, Portugal; hybrid work with up to 3 days remote per week. Candidates must have an existing legal right to work in the European Union.
Company
delivers technology services for a financial-services client focused on risk management and data analytics.
What you will do
- Develop, test, and implement features and enhancements for critical Hadoop-based data applications.
- Maintain mature systems and improve application performance and reliability.
- Contribute across the software development lifecycle, from design through deployment.
- Improve data-processing workflows using new Hadoop cluster capabilities and integrate new sensitivities.
- Streamline interactions with downstream applications and resolve technical issues for end users.
- Provide Level 2 and Level 3 support approximately every six weeks, with on-call duties roughly every four weeks.
Requirements
- At least 6 years of experience in data engineering or software engineering.
- Strong expertise in Spark and distributed systems, including Hadoop, Hive, and Kafka.
- Proficiency in SQL and Scala or Java.
- Experience with Git-based versioning, CI/CD processes, Jira, Jenkins, or Bitbucket.
- High standards for code quality and a test-driven development mindset.
- Fluent English at minimum B2 level and an existing legal right to work in the European Union.
Nice to have
- Experience with Spring Boot.
- Fluency in French.
- Familiarity with orchestration tools such as Control-M.
- Previous experience working with financial systems.
Culture & Benefits
- Hybrid work model based in Lisbon, with up to three remote days per week.
- Opportunity to work on strategic big data solutions supporting financial risk management and business growth.
- Career development through work with modern Hadoop and distributed data technologies.
Hiring process
- Submit a CV, preferably in English.
- Include a statement confirming consent to the processing and storage of personal data.
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