Data Lakehouse Engineer for AI & Analytics

Vorwerk Group; Madrid; Híbrido; EUR 40.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days of vacation

Annual Variable Bonus

Private health insurance with Sanitas

50% discount on TM and Kobold vacuum cleaners

Online English and German classes

Flexible Compensation

Descripción de la vacante

Vorwerk Group in Madrid is looking for a Data Engineer who will focus on implementing data pipelines for analytical use cases. The successful candidate will ensure seamless integration and management of data, navigating challenges within a data lakehouse environment.

This role requires expertise in SQL and Python, as well as several years of experience in backend development. A flexible work arrangement and comprehensive benefits, including health insurance, are part of the offer.

Formación

• 3-5 years of professional experience as a Data Engineer.
• Experience in developing backend or data management systems.
• Structured thinking and very good analytical skills.

Responsabilidades

• Conception and implementation of data ingestion and transformation processes.
• Development of analysis-optimized data architectures.
• Ensuring scalability and parallelizability of data management processes.

Conocimientos

SQL

Python

Data Orchestration tools (Apache Airflow)

Data quality frameworks

Cloud platforms

Educación

Bachelor's degree in Information Technology

Herramientas

dbt

Terraform (IaC)

GitHub or Azure DevOps

Descripción del empleo

We develop and operate customised IT solutions for the Vorwerk Group and drive the digital transformation with innovative services and agile methods. Our vision: ‘We are your IT @Vorwerk’ - an integrated part of value creation and a reliable partner within the Group, which can look back on more than 140 years of history.

As a successful international company, we offer a creative, collaborative work environment and support at every stage of life, ensuring work-life balance with various benefits.

Join us in shaping the future of Vorwerk.

The Data Engineer is responsible for the implementation of the appropriate data pipelines for different analytical use cases and to prepare and deliver data for requesters for business intelligence, data exploration, and advanced analytics.

Main Responsibilities

• Conception and implementation of data ingestion and transformation processes to support data-driven applications, BI and Advanced analytics, and AI.
• Development of analysis-optimized data architectures based on data lakehouses and file-based storage systems (object stores).
• Ensuring the scalability and parallelizability of data management processes.
• Establishment of efficient operation of the data Lakehouse
• Preparation and provision of data for:
• Data Analysts
• Business Engineers
• Data Scientist.
• AI Engineers and Consultant
  
  

Challenges Within the Scope of the Activity

• Ensuring seamless integration and consistency of data from diverse sources within the data lakehouse environment.
• Adhering to data management guidelines, standards, and processes specific to data lakehouses.
• Staying current with and implementing the latest technologies in the rapidly evolving data lakehouse and analytics landscape.
• Providing and maintaining scalable, secure, and efficient data lakehouse infrastructure on cloud platforms.
• Coordinating and communicating effectively to implement architectural principles and governance measures within data lakehouse projects.
  
  

Expertise And Skills

• Several years of professional experience in the development of backend or data management systems, ideally within upscaling, massively parallel environments.
• Very good knowledge of SQL and Python as well as basics of cloud infrastructure.
• Good knowledge of the implementation and application of integration and transformation processes, concepts and technologies.
• Experience with Data Orchestration tools, such as Apache Airflow.
• Experience with dbt, IaC (terraform) and DevOps principles like github or azure devops (Nice to have).
• Experience with data quality frameworks (Nice to have)
• Experience with cloud platforms highly desirable.
• Successfully completed Bacherlor‘s degree in Information Technology or comparable.
• 3-5 years of professional experience as "Data Engineer"
• Structured thinking and very good analytical skills
  
  

Benefits That Truly Fit You

Exciting challenges & career growth – Take on impactful challanges in an agile environment and actively shape your professional development.

Team success & continuous learning – We foster a culture of collaboration and shared achievements while investing in your ongoing growth, including an annual €2,500 budget for training, courses, and professional development opportunities.

Flexibility that fits your life – Enjoy flexible working hours with flextime options, 25 days of vacation, and half a day off on your birthday.

Health & Well-being – Enjoy private health insurance with Sanitas, providing comprehensive medical coverage for your peace of mind, with the option to include your family members, along with access to on-site sports facilities to support your well-being.

Annual Variable Bonus – Earn a performance-based bonus as a percentage of your annual gross salary (pro-rated), linked to both your personal achievements and the company's financial results.

Product Discount – Get a 50% discount on TM and Kobold vacuum cleaners, available for new purchases every three years.

Language Learning – Access online English and German classes to enhance your language skills and support your professional growth.

Flexible Compensation – Customize your benefits by allocating part of your salary to expenses like transport tickets, meal vouchers, and more, optimizing your tax savings and overall compensation.