Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments.
We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together.
The Data Platform Team:
The Data Platform Team at Mentimeter builds data infrastructure and services that influence the future path of the company. The team is part of the Catalyst organization and collaborates closely with the 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 currently use AWS with technologies such as Snowflake, Prefect, dbt, Terraform, Postgres, ECS, Python, TypeScript, Hex and Looker. We are always exploring new technologies and you would also be part of the next leap in data platform maturity. Initially your team will consist of a Lead and two Data Engineers.
Further enriching our vision is the emerging potential of Large Language Models (LLMs) and Generative AI. The synergy between LLMs and Mentimeter is a match made in the heavens. We anticipate lots of opportunities in which AI could profoundly influence the evolution of our product and our internal operations. In your capacity as a Senior Data Engineer, you would play a critical role in building the foundations that would fuel this future, with data.
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 the 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.
We believe you have:
- 5-8 years of 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.
- Experience building and maintaining a data platform in AWS.
- 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.
- 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 50+ different nationalities).
It is beneficial if you have:
- Experience with Data warehouse systems in cloud environments such as AWS, GCP or Azure.
- Experience with Snowflake.
- 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
Not sure you meet 100% of our qualifications? Please apply anyway and let us know why you would enjoy working in this role at Mentimeter!
Please note that this role will have its base in our Stockholm office and is primarily an onsite role with the opportunity to work from home twice per week.
Learn more about Our Ways of Working - Guiding Principles by clicking here.
Please note: We’re on summer vacation and will review all applications and get back to you in August. Thanks for your patience and enjoy the summer!
What Mentimeter can offer
At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance.
All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page
Culture at Mentimeter
At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users.
Learn more about our culture by visiting our Culture page.
Review our Privacy Policy for more information.
