19 часов назад
Data Engineer - Lakehouse And AI Data Platform - VP (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Engineer - Lakehouse And AI Data Platform - VP (AI): Building and optimizing the data foundations for AI and analytics capabilities with an accent on high-performing data pipelines and governed data use. Focus on designing scalable Lakehouse architectures, implementing complex data models, and ensuring production-grade reliability for AI use cases.
Location: Warsaw, Poland
Company
A leading global investment banking, securities and investment management firm founded in 1869.
What you will do
- Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
- Develop raw, refined, and curated datasets to support analytics, reporting, and AI use cases.
- Implement data quality controls to validate completeness, accuracy, and consistency across pipelines.
- Partner with engineers, platform teams, and data consumers to deliver reliable data products.
- Provide technical leadership, task breakdown, and mentorship for junior engineers.
Requirements
- Bachelor’s or master’s degree in a relevant quantitative or data engineering discipline.
- Strong hands-on programming experience in Python or Java.
- Proficiency in SQL, including troubleshooting and optimization.
- Experience with distributed data processing frameworks such as Apache Spark.
- Knowledge of software engineering fundamentals, including version control and CI/CD practices.
- Must be based in or able to work from Warsaw, Poland
Nice to have
- Experience with Snowflake, Apache Iceberg, Databricks, or the Hadoop ecosystem.
- Knowledge of Kafka and common data formats like JSON, Avro, and Parquet.
- Experience with containerized or Kubernetes-based deployment.
Culture & Benefits
- Commitment to diversity and inclusion in the workplace.
- Access to professional and personal growth opportunities through training and development.
- Comprehensive wellness and personal finance offerings.
- Mindfulness programs and firmwide networks.
- Best-in-class benefits package.
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