--- title: 'Senior Data Engineer at Zocks' canonical: 'https://feeny.ai/job/senior-data-engineer-zocks-budapest-mjqq9ew2ja17' type: 'job' last_seen: '2026-11-08' --- # Senior Data Engineer at Zocks - **Company:** Zocks - **Location:** Budapest, Hungary - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-21 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.lever.co/zocks/e2a33ad5-48a3-44be-9766-f5c761ab3b5a ## Job description Company Overview: Zocks is an AI platform transforming how financial advisors work. Starting in the US financial services market, we're building technology that supports advisors across their entire workflow - from sales and meeting preparation to note-taking, follow-ups, scheduling, email, document intelligence, reporting, and integrations with the systems they use every day. Our goal is to take repetitive, manual work out of the advisor-client relationship and turn conversations, documents, and data into actions automatically. As our platform expands across more workflows, customers, and use cases, we're solving increasingly complex challenges around AI, real-time systems, data, security, integrations, and scale. Zocks is headquartered in San Francisco, while our entire R&D organization - Engineering, Product, Design, Data, and Infrastructure - is based in Budapest. This means our Budapest teams don't just execute on a product built elsewhere: they're directly responsible for shaping the product, technology, and how we build them as we grow. More than 5,000 firms, including 6 of the 9 Barron’s Top Mega RIAs and 2 of the top 3 life insurance carriers, rely on Zocks, the #1 rated AI Assistant for Financial Services on G2. Location: Budapest, XI., Science Park (On-site Monday to Thursday, Remote on Fridays) ## Why we're hiring for this role Data plays a central role in how we build and evolve our AI-native platform at Zocks, supporting our product capabilities, customer experiences, and business decisions. We're looking for a Senior Data Engineer to help develop and enhance our data infrastructure, ensuring reliability, scalability, and performance as our product and customer base continue to grow. You'll join our Data team and work on a mix of complex engineering challenges and new initiatives. From optimizing production data pipelines and advancing our data quality capabilities to contributing to new data lake solutions, you'll have the opportunity to make a meaningful impact on how data is processed, managed, and made available across Zocks. This is a hands-on engineering role with strong ownership. You'll design and implement technical solutions, contribute to architectural decisions, and work closely with other engineering teams to build reliable, scalable data systems. Job Description As a Senior Data Engineer at Zocks, you'll take ownership of developing, maintaining, and improving our data infrastructure, balancing product requirements with reliability, performance, and scalability. You'll work with technologies including ClickHouse, Dagster, Airbyte, Apache Superset, AWS, and Python, solving engineering challenges across our data ecosystem. Working closely with our Head of Data, Data Analysts, Platform Engineers, and Software Engineers building enterprise solutions, you'll translate data requirements into robust technical solutions. We're looking for someone who combines strong hands-on engineering skills with a proactive mindset, enjoys solving complex technical problems, and can independently deliver solutions from initial design through production. ## What You'll Own Build and evolve our data infrastructure Design, develop, and maintain production data pipelines, ensuring reliability, performance, scalability, and maintainability. Implement new data pipelines, integrations, and data processing capabilities to support our product. Contribute to the design and implementation of new data lake solutions. Optimize data processing, storage, and orchestration to support growing data volumes and complex use cases. Participate in architectural discussions, evaluate technical approaches, and propose improvements to existing solutions. Build reliable, production-grade data systems Develop and enhance automated data quality checks, monitoring, and alerting capabilities. Apply engineering best practices for data pipeline testing, observability, documentation, and reliability. Identify, troubleshoot, and resolve data quality issues, pipeline failures, and performance bottlenecks. Improve data consistency, completeness, and availability across systems. Take end-to-end ownership of assigned data engineering solutions, from implementation to production operation. Collaborate across Data and Engineering Work closely with the Head of Data and Data Analysts to understand data requirements and deliver reliable, accessible data for analytics and reporting. Collaborate with Platform Engineering and DevOps on cloud infrastructure, deployment, monitoring, and operational reliability. Partner with Software Engineering teams to integrate new data sources and support enterprise product requirements. Contribute to technical discussions, share knowledge, and help identify opportunities to improve our data engineering practices. Proactively suggest solutions, evaluate technical trade-offs, and collaborate with other engineers on implementation decisions. Required Skills and Qualifications 5+ years of hands-on experience in Data Engineering or closely related software engineering disciplines, including experience working with production data systems. Strong Python and SQL skills, with 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 working 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; fluent Hungarian is also required. ## Preferred Qualifications Hands-on experience with our technology stack: ClickHouse, Dagster, Airbyte, and Apache Superset. Experience working with data lakes or lakehouse architectures. Experience implementing automated data quality checks, monitoring, and alerting. Familiarity with Infrastructure as Code, CI/CD, and modern DevOps practices. Experience working in a B2B SaaS or data-intensive product environment. Exposure to AI-native products or data infrastructure supporting AI/ML use cases. What we offer on top of our competitive base salary: -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 Location: Budapest, XI. (On-site Monday to Thursday, Remote on Fridays) We are an equal opportunity employer and never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. At Zocks, we value diversity and believe that it enhances our creativity, innovation, and overall success. We encourage all qualified individuals to apply. ## About Zocks ## Company Overview - **One-liner**: Zocks is a privacy-first AI platform that automates administrative tasks for financial advisors, saving them over 10 hours per week. - **Entity Type**: Private (startup, Series B) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Mark Gilbert (CEO) and Ákos Ratku (CTO) ## Core Business - **Primary Industry**: AI-powered software for financial services (wealth management, financial advisory) - **Target Customers**: B2B – solo advisors, mid-size practices, and enterprise advisory firms (e.g., Carson Group, Osaic, Commonwealth) - **Mission/Purpose**: To transform client interactions into structured, actionable intelligence while maintaining the personal touch essential to client relationships. ## Products & Services - **Zocks AI Assistant**: An enterprise-grade, privacy-first SaaS platform that automates note-taking, form filling, client email generation, CRM updates, and meeting prep. Integrates with Orion, eMoney, PreciseFP, SmartOffice, Practifi, and more. No recordings required – works in real time during conversations. ## Market Standing - **Valuation**: Not publicly disclosed (post-money valuation not available in search results) - **Total Funding**: $64.3 M – $65 M (conflicting reports; PitchBook shows $64.3 M, careers page says $65 M) - Seed Round (Feb 2024): $5.5 M led by Lightspeed Venture Partners - Series A (Mar 2025): $13.8 M led by Motive Ventures - Series B (Jan 2026): $45 M led by Lightspeed Venture Partners and QED Investors - **Key Metric**: 1,000+ advisory firms trust Zocks (as of 2026) - **Notable Investors/Partners**: Lightspeed Venture Partners, QED Investors, Motive Ventures, GFC; partners include Carson Group, Osaic, Commonwealth, Ameritas, Orion, eMoney, PreciseFP, SmartOffice, Practifi - **Growth Signals**: Headcount grew 180% YoY (133 employees, with 91 in US, 40 in Hungary, 2 in Canada); active job postings for senior engineering and product roles; expanding enterprise partnerships ## Competitive Advantages - **Privacy-first & compliance-ready**: No recordings – AI processes conversations in real time, ensuring regulatory compliance (SEC/FINRA). - **Deep integrations**: Direct partnerships with major custodians, CRMs, and planning platforms (Orion, eMoney, Practifi, etc.) create switching costs. - **AI-native architecture**: Built from the ground up on AWS with modern stack (Python, TypeScript, React, Kubernetes, Terraform), enabling rapid feature development. - **Enterprise trust**: Already adopted by large networks like Carson Group (nationwide RIAs) and Osaic (11,000 advisors). ## Strategic Focus - Deepen enterprise partnerships and expand integrations with leading wealth management platforms. - Scale the R&D team in Budapest (full product ownership for Hungary-based engineers). - Continue automating more advisor workflows (forms, client communications, portfolio insights) to increase time savings. - Maintain privacy-first approach as a differentiator while growing market share in the US advisory space. ## Why Work Here - **Culture**: Fast-growing Hungarian-American startup with a diverse, global team across San Francisco and Budapest. Innovation-focused, AI-native environment. - **Remote/Hybrid Policy**: Budapest roles are on-site Monday through Thursday in District XI, with remote work on Fridays. US roles likely hybrid/remote (not explicitly stated but typical for SF startup). - **Tech Stack**: AWS, Python, TypeScript, React, Kubernetes, Terraform – modern, cloud-native infrastructure. - **Engineering Culture**: R&D team in Hungary has full product ownership; competitive salary and benefits. Open roles include Senior Full Stack Engineer, Senior Python Developer, Senior DevSecOps Engineer, Senior Cloud Platform Engineer, and design roles. - **Growth Opportunity**: Join a well-funded, revenue-generating startup that has grown headcount 180% in one year and is trusted by thousands of advisors. ## Sources 1. [linkedin.com](https://linkedin.com/company/zocks) 2. [pitchbook.com](https://pitchbook.com/profiles/company/536920-30) 3. [careers.zocks.io](https://careers.zocks.io/) 4. [zocks.io](https://www.zocks.io/about-us) 5. [jobs.lever.co/zocks](https://jobs.lever.co/zocks) ## Other roles at Zocks - [Solution Consultant](https://feeny.ai/job/solution-consultant-zocks-united-states-fkszmgcer1vv) — United States - [Senior Platform Engineer](https://feeny.ai/job/senior-platform-engineer-zocks-budapest-648qks8238j4) — Budapest, Hungary - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-zocks-denver-tt60py6dba5z) — Denver, CO - [Senior Sourcer](https://feeny.ai/job/senior-sourcer-zocks-united-states-mdyg61s0g2cf) — United States - [Account Manager (SMB)](https://feeny.ai/job/account-manager-smb-zocks-denver-prfq045pprdx) — Denver, CO - [Staff Data Engineer](https://feeny.ai/job/staff-data-engineer-zocks-budapest-75avmynndhpy) — Budapest, Hungary - [Enterprise Account Manager](https://feeny.ai/job/enterprise-account-manager-zocks-united-states-emb0r7dgp3a4) — United States - [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-zocks-budapest-bcht57ect3vz) — Budapest, Hungary - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-zocks-budapest-cvtrdycwr0fk) — Budapest, Hungary - [Senior DevSecOps Engineer](https://feeny.ai/job/senior-devsecops-engineer-zocks-budapest-w806k802p7ne) — Budapest, Hungary