Data Engineering

vor 4 Monaten

Zürich ZH, Schweiz Rivero AG Vollzeit

About Rivero
Rivero is a successful Fintech startup founded in early 2019 on a mission to enable banks and financial institutions to automate complex processes most simply and efficiently. In this way, banks can focus on delighting their customers with streamlined digital interfaces. If you want to label it, we fall into both the #FinTech and the #RegTech domain.
We have steadily grown our customer base and offer a unique opportunity to join us for the exciting growth phase ahead.
What is it like to work at Rivero
- We are ambitious and excited about our mission.
- We provide a lot of freedom and room to grow, value ownership, and embrace daily challenges with a positive attitude.
- We value self-awareness and strive for confident humility.
- We actively engage with our customers to understand and address their needs and pain points.
- We are radically transparent in communication and open-minded to questions, informed comments, and grounded disagreements.
- We believe it is OK to make mistakes but unacceptable not to identify, analyze, and learn from them.

Do you want to be part of our team? Then continue reading
Tasks
Your future responsibilities
**In the Data Engineering Domain**:

- Develop data pipelines to collect relevant data from internal and external sources (product DBs, CRM, accounting system, web analytics, etc.) to build and maintain a data warehouse.
- Work closely with the product, operations, and sales & marketing teams to understand their data needs.
- Enable stakeholders across the organization to query and analyze the stored data relevant to them in a self-service manner (e.g., by connecting Google Sheets, Looker Studio).

**In the ML Engineering Domain**:

- Monitor the ML/AI space for evolving and maturing technologies relevant to Rivero and our products.
- Conduct in-depth analysis of areas identified as potentially relevant, such as but not limited to the usage of LLMs for RAG (powerful semantic search) and “text to SQL” (data query and analytics based on natural language) use cases.
- Collaborate with Product Owners and other stakeholders to present the results of such analysis and define hypotheses for specific use cases.
- Develop proof of concepts to validate applicability and feasibility for use cases related to our products and internal usage.
- Work closely with product engineering teams to move validated use cases from proof of concept to beta status for field testing.

**Requirements**:
What We Are Looking For
We value proactive individuals who enjoy solving complex problems with data and machine learning. Here's what we are looking for:

- Passion for creating robust data pipelines and engaging with stakeholders to meet their data needs.
- Strong proficiency in SQL.
- Experience in monitoring and analyzing emerging ML/AI technologies.
- Proficiency in developing proof of concepts and transitioning them into field testing.
- Proficiency in at least one programming language (e.g. Python, Scala, Java, Kotlin)
- Strong collaboration skills to work with cross-functional teams.
- Ability to communicate the analysis results effectively and influence product direction.
- Experience developing and deploying robust ML systems.

What You Can Expect from the Job
- Opportunity to shape the data and ML strategy of an innovative fintech startup.
- Collaborative environment with product, engineering, and operations teams.
- Hands-on role in developing and deploying cutting-edge ML solutions.
- Ability to leverage emerging technologies and SaaS/Cloud solutions.
- Supportive team culture focused on continuous learning and growth.

**Benefits**:
Perks and Benefits
- Great office in a historic building - 2min from Zurich Oerlikon station, right next to a park, with a friendly Barista and Sushi place in-house.
- Academy sessions covering many topics to learn and grow.
- Friday happy hours - Enjoy a drink with the team after a week of hard work.
- Dog-friendly office.
- Choice of hardware.
- Allowance for mobile subscription.
- Company stock options.

Interested?
Then, simply send us a few lines about yourself, why you would like to join Rivero, and your CV and/or portfolio.

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