Data Engineer Intern

Hearsay Systems is looking for a talented intern in Data Engineering to join our ever-growing Budapest Engineering Team! We ensure individual development in small teams with flexible schedules (a minimum of 24 hours a week is required).As an Intern, you’ll have the unique opportunity to join a rockstar team (contracted via student association) and help to develop a leading tech stack to empower a market-leading solution, in a micro-service-oriented development framework whose infrastructure is hosted on AWS. The role is well-suited for eager candidates willing to learn through close mentorship. The mentors will support the Interns, teach and coach them, and do everything to improve their knowledge to be successful.
Empower your studies with real work experience in an enterprise environment!
About Hearsay SystemsFounded in 2009, Hearsay Systems is the trusted global leader in digital client engagement for financial services. Our Client Engagement Platform empowers over 225,000 advisors and agents to proactively guide and capture the last mile of digital communications in a compliant manner. The world’s leading financial firms—including BlackRock, Charles Schwab, and New York Life—rely on Hearsay’s compliance-driven platform to scale their reach, optimize sales engagements, grow their business, and deliver exceptional client service. 
We are a tight-knit, dedicated team that passionately believes in our products, people, and culture. Our products help advisors and agents compliantly scale personalized customer engagements across social media (Facebook, LinkedIn, Twitter, Instagram), websites, text, and voice.
Hearsay is headquartered in San Francisco, with globally distributed teams throughout North America, Europe, and Asia. Hearsay is backed by Sequoia Capital, NewView Capital, and Salesforce Ventures.

About the role:

• Collaborate with various engineers to execute a diverse range of engineering challenges that touch every aspect of Hearsay data
• Learning, and writing an enterprise-level data pipeline
• Working closely with senior team members to improve the product’s functionality
• Be directly responsible for support handling within the team
• Share your thoughts on product features or literally anything across the team
• Interact and communicate with the cross-functional teams at Hearsay, including Data Science and Business Intelligence 

About you:

• Curious and motivated learner with the ability to learn new technologies and frameworks quickly.
• Solid understanding of relational databases (tables, queries, data types, indices).
• Willingness to work with data
• Knowledge of any OOP language like Python, C#, Java or Kotlin (at Hearsay you’ll work with Python and SQL).
• Familiarity with utilizing modern version control systems such as Git.
• Curiosity and being excited to solve open-ended challenges and find innovative solutions to challenging problems (Cloud, AWS, Azure etc.).
• You have an active student status and you are willing to work via a school association. (The expected date of graduation is not earlier than June 2025).
• Work at least 24-30 hours/week on average with flexibility to match your studies.
• You are concise and articulate in your speech and writing both in Hungarian and English.

What we can offer you:

• Game nights, Darts
• Company Events / Parties
• Real impact on our products
• Working in small scrum teams
• Hybrid working model
• In-office food & beverages – including lunch

In the case of non-EU citizens, You should have a Permanent Residence Card or Residence Card for Third-country National Family Member of EEA National, as we cannot support the visa process.
Our commitment to diversity and inclusion: Hearsay values and welcomes diversity in all forms. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We encourage all qualified individuals to apply. If you need assistance, or a reasonable accommodation during the application and interview process, please contact us at: [email protected].  
I hereby acknowledge that my personal data included in my application will be processed for the purpose of the recruitment process under the General Data Protection Regulation as of 25 May 2018, as amended from time to time.