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Data Engineer

Lumen Dynamics · Villars-sur-Glâne,Fribourg,Switzerland · Posted 21d ago

onsitemid2-5 yrs🇨🇭 Switzerland
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About the role

Design and maintain large-scale data products and services for Lumen Dynamics's data engineering team.

Lumen Dynamics helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services. We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career. Within Lumen Dynamics, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer. An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths. The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Lumen Dynamics Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs. Key Responsibilities: Design, build and optimize real-time and batch data processing pipelines. Develop and maintain data processing components that implement transformation, normalization, and enrichment logic. Build and maintain interactive dashboards and visualizations for internal stakeholders. Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation. Ensure system and data pipelines reliability through monitoring, observability, and alerting practices. Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks. Support internal customers using data products and analytical platforms. Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments. Required Skills Strong programming fundamentals with experience in object-oriented or functional programming languages Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage). Familiarity with streaming data platforms such as Apache Kafka. Experience implementing CI/CD pipelines (e.g. Jenkins). Strong analytical, troubleshooting, and problem-solving skills. Ability to collaborate effectively with cross-functional stakeholders. Preferred Skills Proficiency in Java or other JVM-based programming languages (e.g., Scala). Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams. Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments. Strong understanding of distributed systems concepts and performance optimization. Experience working in large-scale, production-grade data environments. Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset. An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Lumen Dynamics to continuously improve the delivery of business and operational insights: Qualifications: Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience Prior experience developing and managing production-grade data pipelines Achieving this skill-set typically requires a minimum of 8 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths Lumen Dynamics is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law. Additional Information: Our Careers Page Our Benefits Summary Lumen Dynamics in the Community Our EEO Statement Our Privacy Notice for Job Applicants/Candidates Reasonable Accommodations Staffing agency policy: No fees will be paid for unsolicited resumes submitted to Lumen Dynamics or our employees by third parties.

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Why this role stands out

  • dynamic and flexible work environment
  • competitive benefits

Responsibilities

  • Design, build and optimize real-time and batch data processing pipelines
  • Develop and maintain data processing components
  • Build and maintain interactive dashboards and visualizations
  • Develop and maintain containerized workloads in Kubernetes

Must-have skills

  • data lake
  • analytical technologies
  • streaming data platforms
  • ci/cd pipelines
  • object-oriented programming
  • functional programming

Nice-to-have skills

  • java
  • scala
  • apache spark
  • akka streams
  • docker
  • kubernetes
  • grafana
  • tableau
  • superset

Benefits

  • dynamic and flexible work environment
  • competitive benefits
  • ability to grow your career

FAQ

Is the Data Engineer role at Lumen Dynamics remote?+

This Data Engineer position is listed as onsite (Villars-sur-Glâne,Fribourg,Switzerland).

What seniority level is this Data Engineer role?+

This is a mid level position.

What skills does the Data Engineer role require?+

Key requirements include data lake, analytical technologies, streaming data platforms, ci/cd pipelines, object-oriented programming, functional programming.

How do I apply for the Data Engineer role at Lumen Dynamics?+

Use the "Apply on greenhouse:verisign" button to open the original posting on greenhouse:verisign, where you can submit your application directly to Lumen Dynamics.