Software Engineer, Data Team
- Thriving Customer Base : 30,000+ companies worldwide and growing.
- Significant Growth : Expanding global presence after a successful merger with Reveal.
- Innovative Culture : We celebrate innovation, teamwork, and customer success.
- Strong Resources : Well-funded and scaling with solid investor backing.
- Consistently ship features and enhancements with guidance from team members.
- Work across the stack of our application, with a focus on data engineering and backend development.
- Create, test, and deploy high-quality code with a focus on data pipelines and backend services written in Clojure.
- Leverage workflow orchestration tools like Temporal to help the team manage distributed workflows and ensure reliability and scalability.
- Optimize performance of pipeline execution plans to ensure efficient processing of high volume of data.
- Use Datadog to monitor and improve the performance and reliability of backend systems.
- Prioritize and address support issues reported by users or the Customer Success team.
- Identify areas for improvement in the codebase and contribute to enhancements.
- Work closely with engineers and members of teams like Product, Growth, and Customer Success to launch new features.
- Collaborate on cross-functional projects and ensure alignment with business objectives.
- Provide tools and guidelines to the other engineering teams to ensure seamless data processing across the company.
- Continuously learn from and contribute to your team.
- Cultivate an environment where questions and discussions improve the team as a whole.
- Professional Experience: At least 3 years working in a professional engineering team.
- Backend Knowledge: Experience with backend development (we use Clojure, a functional programming language, but are open to those with transferable skills).
- Data Engineering Expertise: Proven experience building scalable data pipelines. While we use Temporal any alternatives (e.g., Airflow, Dagster, Luigi) are valued. ELT, ETL, SQL, PL/SQL Pipeline Streaming
- Database Skills: Hands-on experience optimizing query plan and datastructure (Postgres, MySQL) or NoSQL databases like MongoDB, Scalability, Bigdata, Hadoop.
- Best Practices: You follow documentation best practices and strive for clean, maintainable code.
- Collaboration: Enjoy working with different teams to deliver the best possible product.
- Team Spirit: Thrive in an environment that values diverse opinions and respectful collaboration.
- Adaptability: Comfortable collaborating asynchronously with a distributed team.
- Problem-Solving: Embrace complex technical challenges and derive simple, effective solutions.
- HR interview - 30 minutes
- Interview with the Hiring Manager - 30 minutes (Samuel)
- Take Home Project
- Final Round Interview
- Take home project debrief and Pair Programming with Senior Engineers
- Meet with hiring Engineering Manager and Director (Samuel/ Antoine)
- Interview with the CTO - at the Office
- Flexible Work Environment: Work from our Paris office, with the flexibility to work remotely.
- Competitive Compensation: Roles and compensation grow alongside your impact and our success.
- Health and Wellness: Comprehensive benefits including Alan health coverage, wellness & sport stipends.
- Professional Development: Opportunities for career growth, including learning stipends and mentorship.
- International environment: work with team members in Europe, the US, and around the globe.
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