Senior Data Engineer (Java/Scala, Spark, AWS)

We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power AI-driven initiatives. In this role, you will leverage expertise in AWS, Spark, and modern data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications.

Responsibilities

• Design, build, and maintain large-scale data pipelines and distributed processing systems using Spark
• Develop and support data platforms that enable AI/ML and Generative AI applications
• Architect and implement solutions within AWS cloud environments using cloud-native patterns
• Build and optimize ETL/ELT workflows for analytical and operational use cases
• Implement data modeling strategies aligned with modern data lakehouse architectures
• Ensure data quality, governance, and monitoring across all data assets
• Deliver secure, scalable, and highly available data solutions following operational best practices
• Collaborate with cross-functional teams to support AI-driven business initiatives
• Write advanced SQL queries and production-grade code in Java or Scala

Requirements

• 5+ years of Data Engineering experience with exposure to Gen AI/ML-based applications
• Experience building and maintaining large-scale Spark data pipelines and distributed processing systems with Java or Scala
• Familiarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiatives
• Expertise in AWS cloud environments and cloud-native architectures
• Advanced SQL proficiency
• Data modeling skills and knowledge of modern data lakehouse architectures
• Understanding of data quality, governance, monitoring, and operational best practices
• Ability to build secure, scalable, and highly available data solutions
• ETL/ELT development experience
• English proficiency at Upper-Intermediate level (B2) or higher

Nice to have

• Hands-on experience with Databricks or Snowflake and the ability to work across modern cloud-based data platforms; experience with both is advantageous
• Financial Services background

We offer

• Work with top tech minds driving innovation in AI, cloud, and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid-by-design work mode and remote work opportunity within Poland
• Opportunity to work abroad for up to 60 days annually
• Business-driven relocation opportunities

Growth opportunities

• Career development programs
• Thought leadership, mentoring, soft skills, and well-being programs
• Certification opportunities in Anthropic, Gemini, GCP, Azure, and AWS
• English classes

Benefits

• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package including health insurance, multisport, and shopping vouchers
• Referral bonuses up to $2,000
• Offices with entertainment and relaxation zones, table tennis and football, free snacks, coffee, and more
• Corporate, social, and well-being events

Benefits listed above are available to employees only.

Contractor cooperation is available; terms of B2B cooperation agreements are agreed individually.

Only selected candidates will be contacted.