21 days ago
Budapest, HungarySenior
Responsibilities
- Build, evolve, and operate production data infrastructure and pipelines.
- Implement data integrations, processing capabilities, and new data lake solutions.
- Optimize data processing, storage, orchestration, reliability, performance, scalability, and maintainability.
- Develop automated data quality checks, monitoring, alerting, testing, observability, and documentation.
- Identify and resolve data quality issues, pipeline failures, performance bottlenecks, and consistency or availability problems.
- Own data engineering solutions end to end from design and implementation through production operation.
- Collaborate with the Head of Data and Data Analysts to provide reliable data for analytics and reporting.
- Partner with Platform Engineering, DevOps, and Software Engineering teams on infrastructure, deployment, monitoring, operational reliability, and enterprise product integrations.
- Participate in architectural discussions, evaluate technical trade-offs, propose improvements, and share data engineering knowledge.
Requirements
- 5+ years of hands-on experience in Data Engineering or closely related software engineering disciplines, including production data systems experience.
- Strong Python and SQL skills and experience designing, developing, and maintaining reliable data pipelines.
- Solid understanding of ETL/ELT, data modeling, pipeline orchestration, and modern data architectures.
- Hands-on experience with cloud-based data infrastructure, preferably AWS.
- Experience with data warehousing, data storage, and data processing technologies.
- Experience with data quality, monitoring, testing, troubleshooting, and performance optimization.
- Ability to independently design and implement technical solutions, evaluate trade-offs, and solve complex engineering problems.
- Experience collaborating with Data, Infrastructure, and Software Engineering teams.
- Strong problem-solving skills, a proactive mindset, and a sense of ownership.
- Excellent English communication skills and fluent Hungarian.
- Preferred: experience with ClickHouse, Dagster, Airbyte, Apache Superset, data lakes or lakehouse architectures, automated data quality checks, monitoring and alerting, Infrastructure as Code, CI/CD, modern DevOps practices, B2B SaaS or data-intensive products, and AI/ML-supporting data infrastructure.
Benefits
- Premium health insurance.
- SZÉP-card.
- Lunch provided when working in the office.
- Learning and development 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.