Hybrid Senior Data Engineer

at Technis

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, ETL, Google Cloud Platform, Hadoop, Kafka, MongoDB, MySQL, NoSQL, Postgres, Spark, SQL
• Location requirements: Hybrid, Lausanne, Switzerland

About the role

• Senior Data Engineer developing scalable data pipelines and collaborating with cross-functional teams at Technis. Technical guidance in a hybrid work environment based in Lausanne, Switzerland.

Responsibilities

• Collaborate closely with your project team to develop scalable and efficient data pipelines, ensuring high-quality data ingestion, processing, and storage solutions.
• Work with our Product and Delivery Managers to regularly refine the definition of the work in the product backlog, contributing expertise and gaining clarity when needed.
• Provide feedback on designs for completeness, implementation effort, and feasibility.
• Collaborate with the Product team to plan future cycles by contributing to story definition, providing work estimates, and regularly identifying technical dependencies and blockers.
• Understand and advocate for ongoing cycle goals and help motivate our teams to finish those cycles on time and with minimal technical debt.
• Review your team members' code submissions to ensure it meets the needs of the project in terms of quality, correctness, consistency, and performance.
• Participate in regular shares with stakeholders on project progress and delivered features and functionality.
• Support the engineering department by sharing the technical knowledge you learn with your project teams.
• Identify when your team members are stuck on a technical challenge and offer support.
• Produce documentation on methods, decisions, technical approaches, and other context to improve the developer experience on our projects.

Requirements

• 5+ years of experience in data engineering.
• Proficiency in building and maintaining data pipelines using technologies such as Apache Kafka, Spark, and Hadoop.
• Strong experience with SQL and NoSQL databases (i.e., PostgreSQL, MySQL, MongoDB).
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of data modeling, ETL processes, and data warehousing solutions.
• Excited to learn new technologies and adopt new solutions to deliver amazing products and further your depth of knowledge as an engineer and technologist.
• Contributed to technical design discussions and helped evaluate different technical solutions to influence architectural decision making.
• Comfortable following general agile delivery methodologies and participating in regularly scheduled meetings and ceremonies (generally only two per week).
• Organized, self-motivated, and comfortable advocating for your needs, the needs of the project, and the needs of the team.
• Experience as a tech lead or technical management role is a plus, but not a requirement.

Benefits

• An opportunity to join a fast-paced, growing startup where you can have an immediate impact.
• A stimulating and empowering work environment with a team of true enthusiasts.
• Modern office in the heart of the city.
• Lots of flexibility, autonomy, and daily challenges!
• 25 days of paid time-off + local bank holidays.
• A budget for attending events and conferences.