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Senior DataOps Engineer

vor 3 Monaten

Winterthur, Schweiz Winterthur Gas & Diesel Switzerland Ltd Vollzeit

Powering transformation for a sustainable future

At WinGD and across the shipping industry we face unprecedented change as we strive to bring greater sustainability into our global business. As marine engine designers, our responsibility in this is significant. A career with WinGD has an impact on shaping a better world for tomorrow. As a leading developer of the two-stroke engines that power merchant shipping, our people drive innovative solutions for our customers on a global scale. Headquartered in Winterthur, Switzerland, since its inception in 1893, WinGD continues the legacy of the Sulzer Corporation through innovation in design. Our success in this ever-evolving, competitive environment is based on the drive, innovation, and collaboration of our diverse employee population, over 420 people worldwide, representing over 25 different nationalities. Come, be a part of this change.

WinGD is looking for a Senior DataOps Engineer

We are seeking an experienced and highly motivated Senior DataOps Engineer to join our international team. This team is dedicated to the design and development of the WinGD Integrated Digital Expert (WiDE) product. As a Senior DataOps Engineer, you will play a critical role in managing our data infrastructure; optimizing and automating our data pipelines, ensuring data quality, and enhancing the overall efficiency of our data operations. You will collaborate closely with the data analytics team and operation support experts as part of the system and software development team to build and maintain scalable, reliable, and secure system infrastructure.

Key Responsibilities:

  • Manage data infrastructure: ensure the health and economically running of the databases (both cloud-based and edge-based), APIs, and data pipelines.
  • Data Quality and Governance: Ensure data integrity, consistency, and accuracy through the implementation of data validation and quality control measures.
  • Monitoring and Optimization: Monitor and report data systems performance, troubleshoot issues, and optimize processes to enhance data throughput and reliability.
  • Data Pipeline Development: Design, develop, and maintain robust, scalable, and efficient data pipelines for ETL/ELT processes.
  • Automation and Orchestration: Implement automation solutions for data workflows and ensure seamless integration and orchestration of data tasks.
  • Collaboration: Work closely with the data analytics team and operation support experts as part of the system and software development to understand data requirements and deliver solutions that meet business needs.
  • Security and Compliance: Implement and enforce data security measures and compliance with relevant data protection regulations.
  • Tool and Technology Evaluation: Stay up to date with emerging technologies and tools in the DataOps space and make recommendations for their implementation.

Required Skills and Qualifications:

  • Experience:
    • Minimum of 5 years of experience in large-scale data infrastructure management, data engineering, data operations, or a related field, with at least 2 years in a DataOps role.
    • Experienced with time series data and logs handling.
  • Technical Skills:
    • Proficiency in SQL, and experience with databases (e.g., MySQL, DynamoDB, InfluxDB).
    • Familiar with IoT solutions.
    • Familiar with AWS and cloud services (e.g., Lambda, S3, Athena).
    • Expertise in Python and scripting languages.
    • Familiar with data pipeline tools and big data technologies.
    • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
    • Knowledge of general data acquisition, pipeline, storage.
    • Knowledge of system interfaces, protocols, and standards (e.g., API, Modbus, OPC, MQTT).
    • Experienced in data modeling and database design.
    • Understanding of CI/CD practices and tools (e.g., Jenkins, GitLab CI).
    • Familiar with data security best practices.
  • Soft Skills:
    • Strong problem-solving and analytical skills.
    • Excellent communication and teamwork abilities.
    • Ability to work in a fast-paced and agile environment.
    • Detail-oriented with a focus on data quality and accuracy.
    • Clear communication in English both orally and in writing.
  • Education:
    • Degree in Computer Science, Information Technology, Engineering, or a related field.

Our offer:

  • An opportunity to shape the sustainability and environmental impact of the shipping industry. WinGD is on the leading edge of the technology which is shaping the future of the shipping industry.
  • A dynamic working environment, blending a long history of technology expertise with industry-leading innovation across a global network.
  • Award-winning and extraordinary products.
  • Multi-cultural and interdisciplinary teams offering diverse perspectives and collaborative thinking.
  • Dynamic and interactive working conditions. WinGD offers a non-hierarchical, agile structure where input and ideas are welcome.
  • In-house technology training and professional development opportunities.
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