Data Product Engineer (f/m/d)
We are hiring here at Upvest come and join the growing team!
Upvest, founded in 2017, enables any financial institution to offer great investment experiences to its customers. Upvest is an investment firm regulated by the German supervision authority (BaFin). The company currently employs 160+ people across Europe with its headquarters based in Berlin, Germany.
The company is backed by the world’s largest venture capital funds and investors including Bessemer Venture Partners, BlackRock, Earlybird, HV Capital, Notion Capital, and ABN Amro Ventures, as well as by renowned fintech entrepreneurs (including Maximilian Tayenthal, founder of N26, and Felix Haas, founder of IDnow).
We’re looking for fintech enthusiasts to join us in creating the financial infrastructure of tomorrow. We’re building the first European Investment API to enable any financial institution offering a wide range of efficient and transparent investment products, such as stocks and ETFs in nominal, portfolio, and fractional form. Our mission and vision is to make investing as easy as spending money.
We’re based in Berlin but are also open to hiring remotely in Germany or Estonia for this role. If you're currently based elsewhere but would like to move to Germany, we’re happy to support your relocation.
Your mission:
Are you passionate about taking data models to the next level? Join us to shape the future of data-driven decisions across domains like trading, payments, and risk. The heavy lifting on the engineering side is done—now, we need your expertise in SQL and dbt to optimise and fine-tune our data models. You'll work closely with teams across the company, making data accessible and insightful for all. If you’re ready to automate, refine, and help educate others on SQL best practices while driving data quality, this is your opportunity to shine!
This role will give you the opportunity to:
- Design, develop, orchestrate, and maintain scalable data models in BigQuery to support various business requirements
- Work closely with product engineering and analytics teams to ensure high data quality and availability
- Develop and improve our SQL-first data models, across different levels (raw events, domain models, marts)
- Drive the improvement of data governance and schema management processes, integrating with technologies like dbt, protobuf, and Apache Kafka
- Manage and understand your business stakeholders to ensure our data models and data tools meet the business needs
- Ensure compliance with data privacy and security regulations
- Continuously evaluate and integrate new technologies to improve data modeling capabilities and application development efficiency
Job requirements:
- Strong experience in domain modelling and data management, in BigQuery or a similar data warehouse
- Proficient in SQL for data transformation, cleaning, deduplication, and data modelling in general
- Solid understanding of data warehousing concepts, such as data normalisation, view materialisation, and data backfilling
- Experience with version control systems like Git (merge, rebase, automation)
- A passion for working closely with other data engineers and analysts to deliver 100% accurate, high-quality data models
- Strong problem-solving skills and the ability to work independently and as part of a team
It’s nice if you have:
- Experience in working with LookML and Looker Explores and Dashboards
- Experience in Go and in building Go-based data products
- Experience in dbt
Why Upvest?
- Greenfield projects. We’re building something quite complex and a first in Europe. This means we’re working with cutting-edge technologies and with no legacy code.
- Wellbeing. At Upvest, everyone has access to our in-house coach where you can have regular sessions to support you personally and professionally.
- Development. In keeping with one of our core values, ‘Learn and Grow’, every Upvenger has access to a development budget. In line with one of our other values, ‘Own the Outcome’, how you choose to make the most of it, is up to you.
- Flexibility. We work in a hybrid setup with the team distributed around Germany and Europe. We give you the choice (and budget) to spend your time where you are most comfortable and productive, either at home or the office. You choose.
Our values:
- Learn and grow. We aim high to shape our future. We give and request honest feedback knowing that we develop together. Progression over Perfection.
- Team first. We make it easy for others. We value our differences and are open to others' opinions. We win and celebrate together! Team over Egos.
- Own the outcome. Whether we win or we lose, we stand together. We are proactive and get the job done. Outcome over Process.
- Tell the story. We always start with the why. We share knowledge to empower others. Transparency over Complexity.
Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
- Team
- Engineering
- Locations
- Berlin, Tallinn
- Remote status
- Hybrid Remote
About Upvest
We’re building the first European Investment API to enable any financial institution to offer a broad range of investment products in their apps. We are backed by the most internationally recognized VCs (Bessemer Venture Partners, Earlybird, Notion Capital, Partech, HV Capital, Speedinvest, ABN AMRO Ventures) and by renowned fintech entrepreneurs (including Maximilian Tayenthal, founder of N26, and Felix Haas, founder of IDnow).
Data Product Engineer (f/m/d)
We are hiring here at Upvest come and join the growing team!
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