Data Engineer (m/f/d)

Vorwerk Austria GmbH & Co KG; Madrid; Presencial; EUR 50.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career growth

Training budget

Flexible hours

25 days vacation

Birthday half-day

Health insurance

On-site gym

Annual bonus

Product discount

Language courses

Flexible compensation

Descripción de la vacante

Vorwerk Austria GmbH & Co KG is seeking a Data Engineer to implement data ingestion and transformation for BI, analytics, and AI. You will develop analytics-optimised data architectures on data lakehouses and ensure scalable, efficient data management across cloud platforms.

The role involves preparing data for Data Analysts, Data Scientists, AI Engineers and Consultants, with an emphasis on data governance and scalable solutions.

Formación

• Several years of backend/data management experience in scalable environments.
• Strong SQL and Python skills for data processing and analytics.
• Experience with data lakehouse architectures and data orchestration.
• Familiarity with cloud platforms and tools like Airflow, dbt and DevOps practices.

Responsabilidades

• Conception and implementation of data ingestion and transformation processes for BI, analytics, and AI.
• Development of analytics-optimised data architectures based on data lakehouses and object stores.
• Ensure scalability and parallelism of data management processes.
• Establishment of efficient operation of the data Lakehouse.
• Prepare and provision data for Data Analysts, Data Scientists, AI Engineers and Consultants.

Conocimientos

SQL

Python

Airflow

dbt

Terraform

Cloud basics

Data governance

Analytical skills

Educación

Bachelor's degree in Information Technology

Herramientas

GitHub

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.

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‑optimised 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 Bachelor’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 challenges 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.