Senior Data Engineer (Team Lead)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Team Lead) based in Switzerland.

This remote leadership opportunity is designed for an experienced data engineering professional who can combine deep technical expertise with team management capabilities. You will lead the design, development, and optimization of scalable data solutions while guiding engineers and shaping engineering best practices. The role focuses on distributed data processing, streaming architectures, cloud data platforms, and building reliable data infrastructure. You will collaborate with product, analytics, and engineering teams to define data strategies and deliver impactful solutions. This position is ideal for a technical leader who enjoys solving complex data challenges, mentoring talent, and driving innovation in a fully remote environment.

Accountabilities:: As a Senior Data Engineer (Team Lead), you will be responsible for leading data engineering initiatives while contributing hands-on to the development of scalable and reliable data platforms. Your main responsibilities will include:

Leading a team of data engineers while actively contributing to the design and development of advanced data pipelines.

Architecting, implementing, and optimizing large-scale streaming and batch data solutions using technologies such as Kafka, Spark, and Hadoop.

Managing the deployment, monitoring, and optimization of data infrastructure to ensure performance, reliability, and scalability.

Collaborating with product, analytics, and engineering teams to understand data requirements and define effective data strategies.

Coaching and mentoring engineers while promoting strong engineering practices, collaboration, and continuous improvement.

Establishing and maintaining best practices for data governance, security, compliance, and data quality.

Identifying opportunities to improve data engineering processes, tooling, and technical standards.

Supporting architectural decisions and ensuring solutions align with business and technical objectives.

Communicating technical solutions, progress, and challenges effectively with both technical teams and stakeholders.

Requirements:

The ideal candidate is a highly experienced data engineering leader with a strong background in distributed systems and large-scale data solutions. You should bring:

6+ years of professional experience in data engineering, including recent experience leading technical teams.

Strong expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems.

Hands-on experience designing and maintaining scalable data pipelines and distributed processing systems.

Experience working with cloud data platforms, with BigQuery experience considered highly desirable.

Proven success delivering complex data engineering solutions in large-scale environments.

Strong debugging, troubleshooting, performance optimization, and analytical problem-solving skills.

Experience mentoring engineers, managing workflows, and supporting team development.

Excellent communication and leadership skills with the ability to collaborate across technical and business teams.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Benefits:

The role offers a flexible remote environment with opportunities to work on challenging data engineering initiatives and grow as a technical leader. Benefits include:

Fully remote work opportunity.

Competitive compensation package paid in foreign currency.

Regular training and professional development opportunities.

Opportunity to lead impactful data projects with modern technologies.

Exposure to complex distributed systems and cloud data platforms.

Collaborative environment with international teams and experienced professionals.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1