Senior Data Engineer

Mentimeter

Stockholm, ME

Full Time

Senior

29 days ago

Job Description

About the Role

Mentimeter is an engagement tool with a clear goal in mind: to turn presentations into conversations. Through real-time interactivity and clear visualizations, it encourages participation, engagement, and productivity. The company values collaboration, curiosity, and a diverse, inclusive environment, aiming to help over 1 billion people listen, learn, and work better together. The Data Platform Team builds data infrastructure and services that influence the company's future, working closely with various departments and exploring emerging technologies like Large Language Models and Generative AI.

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.

Requirements

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.

Nice to 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.

Qualifications

A college degree is not strictly required.

Benefits & Perks

A diverse and inclusive work environment supported by smart and driven colleagues.
Access to a leadership program including external personal coaching and relevant education.
Career opportunities in a growing company with a beloved product used by more than 300 million people.
A healthy view on work-life balance.
Competitive compensation and benefits package, including pension contributions.

Working at Mentimeter

At Mentimeter, we believe in giving everyone a voice—regardless of who you are. Our platform and organization are built on safety, embracing differences, and having fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, fostering a diverse environment that reflects our users.

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