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Zocks | AI for AdvisorsCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data infrastructure, including data lakes and pipelines, while ensuring data quality and operational reliability. Proficient in leading technical initiatives and collaborating across teams to drive architectural decisions and best practices.
Highest-signal resume keywords
Expert-Level Python SkillsExpert-Level SQL SkillsCloud-Based Data Infrastructure (AWS)Data Engineering Best PracticesData Lake Architecture
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Drive the technical design, development, and evolution of Zocks’ data infrastructure
- Drive technical decisions around data architecture, pipeline design, orchestration, storage, and processing
- Own and improve production data pipelines for reliability, performance, scalability, and maintainability
- Design and implement data lake solutions, data pipelines, integrations, and data processing capabilities
- Evaluate technologies and architectural approaches, balancing short-term delivery with long-term scalability
- Develop automated data quality checks, monitoring, and alerting capabilities
- Define and champion best practices for pipeline testing, observability, documentation, and reliability
- Identify and address performance bottlenecks, data inconsistencies, and architectural limitations
- Improve data processing and storage efficiency for growing data volumes and complex use cases
- Own critical data engineering solutions from design and implementation through production operation
- Partner with the Head of Data on technical priorities and long-term data engineering evolution
- Collaborate with Data Analysts, Platform Engineering, DevOps, and Software Engineering teams
- Integrate new data sources and support enterprise product requirements
- Lead technical discussions and architectural decisions
- Share technical knowledge, promote reusable patterns, and champion engineering standards across the Data team
Requirements
What you’ll need- 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, and performance optimization
- Experience with engineering practices around data quality, monitoring, testing, and operational reliability
- Ability to independently identify technical challenges, evaluate trade-offs, and drive solutions without relying on predefined requirements
- Experience collaborating across Data, Infrastructure, and Software Engineering teams, with the ability to influence technical decisions beyond your immediate area
- Excellent English communication skills; fluent Hungarian is also required
- Hands-on experience with ClickHouse, Dagster, Airbyte, and Apache Superset
- Experience designing and implementing data lakes or lakehouse architectures
- Experience building automated data quality frameworks, validation processes, and alerting systems
- Familiarity with Infrastructure as Code, CI/CD, and modern DevOps practices
- Experience shaping data engineering standards and infrastructure in a product organization
- Background in B2B SaaS or data-intensive product development
- Exposure to AI-native products or data infrastructure supporting AI/ML use cases
- Experience mentoring engineers or providing technical guidance across teams
Benefits
Comp & perks- Premium Health Insurance
- SZÉP-card
- Your lunch is on us when you are in the office
- L&D contribution
- AYCM package
- Employee equity program
- Budapest pass (BKK)
- Home office support
- Loyalty program: extra PTO
- Fully stacked office snacks
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignETL/ELTData ModelingPipeline OrchestrationData WarehousingDistributed Data ProcessingPerformance OptimizationAutomated Data Quality FrameworksMonitoring and AlertingTechnical Decision Making
Soft Skills
Excellent English Communication SkillsInfluencing Technical DecisionsMentoring Engineers
Tools & Technologies
ClickHouseDagsterAirbyteApache SupersetInfrastructure as CodeCI/CD
Industry Keywords
B2B SaaSData-Intensive Product DevelopmentAI/ML Use Cases