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Les coordonnées de l'entreprise sont confidentielles
(Fermé)Booming Swiss AI & Data Scale-up

Senior Data Vault Engineer

  • Data Engineer
    +1
    XXXX
  • ETL
    Data Modeling
    Data Warehousing
    +3
    XXXX
  • CH
    Lausanne, Vaud, Switzerland
S'inscrire
  • Data Engineer
    +1
    XXXX
  • ETL
    Data Modeling
    Data Warehousing
    +3
    XXXX
  • CH
    Lausanne, Vaud, Switzerland

Enterprise

À propos

The hiring company enables enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, they empower their clients to unleash and scale the power of their data. They are seeking a highly skilled and experienced Senior Data Engineer to join their dynamic team in Lausanne, Switzerland.

Avantages et bénéfices

  • A competitive compensation package.
  • A yearly education budget to steep your learning curve.
  • A yearly sport budget because a fit body leads to a fit mind.
  • A flexible working culture because your work-life balance matters to us.
  • A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
  • An international, knowledgeable, and passionate team with a strong collaborative mindset.

Poste

Votre profil

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 10 years of hands-on experience in data engineering, with a focus on ETL development and Data Vault methodology.
  • Strong proficiency in designing and implementing complex ETL processes using industry-standard tools such as Informatica, SSIS, or equivalent.
  • In-depth knowledge and practical experience with Data Vault modeling and architecture.
  • Expertise in SQL and scripting languages such as Python or PowerShell.
  • Experience working with cloud-based data warehousing platforms (e.g., Snowflake, AWS Redshift, Azure Synapse Analytics).
  • Proven ability to lead and mentor a team of data engineers.
  • Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • Strong problem-solving skills and a proactive attitude towards continuous improvement.

Vos tâches

  • Design, develop, and implement scalable ETL processes to extract, transform, and load data from various sources into our data warehouse.
  • Utilize your expertise in Data Vault methodology to design and implement efficient and flexible data models that support our business intelligence and analytics initiatives.
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and ensure the successful delivery of high-quality solutions.
  • Lead and mentor junior members of the data engineering team, sharing best practices and fostering a collaborative and innovative work environment.
  • Implement and maintain data governance and quality standards to ensure the accuracy, integrity, and security of our data assets.
  • Stay current with industry trends and emerging technologies, providing recommendations for continuous improvement and optimization of our data architecture.

Compétences idéales

  • ETL
  • Data Modeling
  • Data Warehousing
  • Jusqu'à CHF 170’000
  • Lausanne, Vaud, Switzerland

Expérience professionnelle

  • Data Engineer

Compétences linguistiques

  • English
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