2 months ago
Budapest, HungaryStaff+
Responsibilities
- Shape data architecture and drive technical decisions around pipeline design, orchestration, storage, and processing.
- Own and improve production data pipelines for reliability, performance, scalability, and maintainability.
- Design and implement data lake solutions, new data pipelines, integrations, and data processing capabilities.
- Build automated data quality checks, monitoring, alerting, testing, observability, and reliability practices.
- Identify and resolve performance bottlenecks, data inconsistencies, and architectural limitations.
- Own critical data engineering solutions from design and implementation through production operation.
- Partner with Data, Platform Engineering, DevOps, and Software Engineering teams on technical priorities and integrations.
- Lead technical discussions, influence architectural decisions, share knowledge, and promote reusable engineering standards.
Requirements
- 7+ years of hands-on experience in Data Engineering or closely related software engineering disciplines, including ownership of complex production data systems.
- Expert-level Python and SQL skills and a strong record of 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.
- Experience making architectural decisions and leading complex technical initiatives from design through production.
- Understanding of data warehousing, data storage, distributed data processing, and performance optimization.
- Experience with data quality, monitoring, testing, and operational reliability practices.
- Ability to independently identify technical challenges, evaluate trade-offs, and drive solutions.
- Experience collaborating across Data, Infrastructure, and Software Engineering teams and influencing technical decisions.
- Excellent English communication skills and fluent Hungarian.
- Preferred experience with ClickHouse, Dagster, Airbyte, Apache Superset, data lakes or lakehouse architectures, automated data quality frameworks, Infrastructure as Code, CI/CD, DevOps practices, product organizations, B2B SaaS, data-intensive products, AI/ML use cases, and mentoring or providing technical guidance.
Benefits
- Premium health insurance.
- SZÉP-card.
- Lunch provided when working in the office.
- L&D contribution.
- AYCM package.
- Employee equity program.
- Budapest pass (BKK).
- Home office support.
- Loyalty program with extra PTO.
- Fully stocked office snacks.
- Budapest, XI. location with on-site work Monday through Thursday and remote work on Fridays.
About Zocks
Zocks builds an AI assistant for financial services that captures meeting details, automates notes, forms, and client follow-ups, and syncs data into CRM and task systems. The SaaS product serves independent advisors and large wealth-management firms, with enterprise controls and integrations. Founded in 2022 and headquartered in San Francisco, it is privately held; customers include Carson Group, Commonwealth, Osaic, Kestra Financial, and Ameritas.