Senior Data Engineer

Our vision is to transform presentations, meetings and lectures by turning passive audiences into engaged contributors. We make this possible through our interactive presentation platform where the traditional presentation monologue becomes an inclusive dialogue. We believe in the power of together and that the most successful leaders listen to be heard.
With Mentimeter, users become the best presenter they can be. Meetings become more productive, participants learn more and have fun whilst doing it.
We have more than 200 million users and customers worldwide, on our way of making the world a better place, one presentation at a time.
The team:
The Data Platform Team at Mentimeter builds data products and platforms that influence the future path of the company. The team is part of the larger Data and Analytics organization which consists of other embedded and central teams of data scientists, analysts and insight people. Here, you’ll be working on a data ecosystem that serves all of the departments (Product, Marketing, Sales and Finance) with both data as well as infrastructure. You will have a direct impact on the future of Mentimeter’s business and product decisions.
As a Senior Data Engineer, you will be involved in architecting and building data platforms to tackle business and technical use cases. We use Heroku and AWS with technologies such as Postgres, Redshift, Looker, ECS, Prefect, dbt, Python, TypeScript and Terraform. Today, your team consists of a lead, three data engineers and three analytics engineers.
Key responsibilities:
Architect, integrate and maintain batch and stream data pipelines between operational and analytical databases as well as third party systems.
Collaborate with product developers, analytics engineers and data scientists to deliver new data features within the data warehouse or other systems.
Provide contextual and best-practice level contributions to teh Data Engineering team from a technical standpoint and ensure proper and scalable architectural decisions and life cycle.
Collaborate with analytics engineers to validate and ensure high data quality.
Maintain a performant data warehouse and scale it as needed.

We believe you have:
A numerate degree and/or previous experience working as a data engineer, data heavy backend developer or similar.
Experience of software engineering and programming (Python, SQL, Java, Scala) in a professional environment.
Proficient knowledge of architecture and design (patterns, reliability, scalability, quality) of systems.
Ability to think strategically to assess priorities, possible solution alternatives and understand trade-offs before committing to a way forward.
Experience with fast prototyping.
Good communication and pedagogical skills to lead and coach the technical engineering team.
Comfortable communicating with a diverse set of technical and business stakeholders in English, especially written (daily work is carried out in English and the Mentimeter team currently boasts 40+ different nationalities).

It is highly beneficial if you have:
Experience with Data warehouse systems setup and migration.
Prior tech lead experience.

It is beneficial if you have:
Experience with GDPR compliance requirements around data in transit and data at rest.
Experience with stream processing and real time systems.
Experience with ML engineering.
Professional experience working in an agile environment.
Experience with attracting, finding and growing talented professionals.