Staff Data Engineer
Employer · Zocks
Software developer
Database administratorSystems analystFlexibleFull-timeBudapest District XI, XI., Science Park
Zocks is an AI platform transforming how financial advisors work. We're looking for a Staff Data Engineer to take a leading technical role in developing our data infrastructure, ensuring reliability, scalability, and performance as our product and customer base continue to grow.
Tasks
- Drive technical decisions around data architecture, pipeline design, orchestration, storage, and processing.
- Own the evolution of production data pipelines, improving their reliability, performance, scalability, and maintainability.
- Play a key technical role in designing and implementing new data lake solutions, including architectural choices and implementation.
- Design and implement new data pipelines, integrations, and data processing capabilities to support our product.
- Develop and advance automated data quality checks, monitoring, and alerting capabilities.
- Define and champion engineering best practices for data pipeline testing, observability, documentation, and reliability.
- Proactively identify and address performance bottlenecks, data inconsistencies, and architectural limitations.
- Partner with the Head of Data to shape technical priorities and the long-term evolution of our data engineering capabilities.
- Work closely with Data Analysts to understand data requirements and ensure reliable, accessible data for analytics and reporting.
- Collaborate with Platform Engineering and DevOps on cloud infrastructure, deployment, monitoring, and operational reliability.
Requirements
- 7 years of hands-on experience in Data Engineering or closely related software engineering disciplines, including experience owning complex production data systems.
- Expert-level Python and SQL skills, with a strong track record of designing and building reliable, scalable data pipelines.
- Deep understanding of ETL/ELT, data modeling, pipeline orchestration, and modern data architectures.
- Strong hands-on experience with cloud-based data infrastructure, preferably AWS.
- Proven experience making architectural decisions and leading complex technical initiatives from design through production.
- Solid understanding of data warehousing, data storage, distributed data processing