Company details are confidential
(Closed)Booming Swiss AI & Data Scale-up
SignupSenior Data Vault Engineer
- Data Engineer+1XXXX
- ETLData ModelingData Warehousing+3XXXX
- Lausanne, Vaud, Switzerland
- Data Engineer+1XXXX
- ETLData ModelingData Warehousing+3XXXX
- Lausanne, Vaud, Switzerland
Company
About
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.
Perks & Benefits
- 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.
Vacancy
Who you are
- 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.
Your tasks
- 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.
Nice-to-have skills
- ETL
- Data Modeling
- Data Warehousing
Work experience
- Data Engineer
Languages
- English
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