DCE - Senior Data Engineer

Knauf stands for opportunity. This exciting role offers you the ideal opportunity to begin and further develop an impressive career within a values-driven culture.

As a global building materials manufacturer with 42,500 employees in 90 countries, we offer diverse opportunities to ambitious talent. We value every contribution and are committed to creating a safe and inclusive work environment with the aim of developing sustainable solutions for a better future.

Knauf Information Services GmbH is proud to be a part of the Knauf Group. With a long-standing tradition, and a growing international presence, we are seeking dedicated individuals to help us achieve our long-term vision.

Can you say ‘yes’?

• Is respectful and appreciative interaction within the team a given for you?
• Do you always put the customer at the center of your actions?
• Do you consider the future and upcoming generations in your actions?
• Do you strive for personal and professional growth?

What you'll do

• Architect, build, and optimize scalable data pipelines for batch and real-time data processing. 
• Develop and implement ETL/ELT workflows, ensuring efficient data ingestion, transformation, and storage.
• Leverage Data Vault 2.0 methodologies to enable scalable and flexible data modeling. 
•  Ensure data consistency, reliability, and governance across data lakes, warehouses, and operational data stores. 
• Optimize performance and cost efficiency of data infrastructure on Azure (or other cloud platforms). 
•  Implement and manage big data processing frameworks, such as Apache Spark, Databricks, Kafka, or Azure Event Hub. 
•  Enhance data security and compliance, integrating RBAC, encryption, and regulatory frameworks (GDPR, CCPA, HIPAA) into data infrastructure. 
• Develop automation tools for data pipeline orchestration, using Airflow, Azure Data Factory, or Prefect. 
• Monitor, troubleshoot, and optimize data pipelines, ensuring minimal downtime and quick recovery from failures. 
• Collaborate with federated engineering teams to align data architecture with business and engineering goals. 
• Work with data scientists and business analysts to provide clean, reliable, and scalable datasets for advanced analytics and machine learning. 
• Evaluate and adopt emerging technologies, ensuring continuous improvement in data engineering best practices. 
• Mentor and guide junior engineers, fostering technical excellence and knowledge sharing within the team.

Who you are

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. 
•  5+ years of experience in data engineering, ETL development, or big data technologies. 
• Expertise in designing and optimizing ETL/ELT workflows, using tools such as dbt, Airflow, Azure Data Factory, or Apache NiFi.
• Hands-on experience with cloud-native data platforms, including Azure Synapse, Databricks, Snowflake, or BigQuery. 
• Strong knowledge of data modeling techniques, including Data Vault 2.0, star schema, and normalization strategies. 
•  Experience with large-scale distributed computing frameworks (Apache Spark, Hadoop, Kafka, Event Hub). 
•  Advanced proficiency in SQL and programming languages, such as Python, Scala, or Java.
• Deep understanding of Infrastructure as Code (Terraform, Pulumi, ARM templates) for managing cloud-based data infrastructure. 
• Experience with data security and governance best practices, including RBAC, encryption, data lineage, and regulatory compliance. 
• Experience working in a federated engineering environment, ensuring seamless integration across teams. 
•  Proficiency in observability and monitoring tools for data pipelines, such as Monte Carlo, DataDog, Great Expectations. 
• Experience with Agile and DevSecOps methodologies, ensuring continuous integration, deployment, and monitoring of data solutions. 
• Proven ability to optimize and scale data pipelines, reducing latency and improving data availability. 
• Ability to influence architectural decisions and drive best practices in data engineering.

What we offer you

We all shape our lives individually. As an employer, we play a significant role in the daily life of our employees and aim to support them with various offerings. This includes, among other things:

• Security: Permanent employment contract in a stable, successful family owned business
• Flexibility: A wide time window for flexible working and weekly remote days
• Fitness and health: Discounts on various sports and leisure activities, active health promotion, private health care, occupational safety, and more
• Time Savings: Parking and direct access to public transport (train, bus)
• Feel Approach: Welcome days and individual onboarding, company and team events
  
• Personal career and career development: Individual support for extra-occupational studies, further education and training courses
• Inspiring work environment: Our nicely designed office offers you an environment that fosters creativity and productivity. We love coming together as a team here!

Knauf as an employer

Knauf Information Services GmbH is a key driver of the KNAUF Group's global growth and digital transformation. A team of 500 highly qualified experts is committed to supporting the Group and its customers worldwide with innovative IT solutions and customized services. The core competencies of Knauf IT cover a wide range of IT services, including the development and implementation of complex software solutions, the optimization of business processes through digital technologies and ensuring IT security and data protection.

The Knauf Group is proud to be an equal opportunity employer. We are committed to a diverse and inclusive work environment, and we make all personnel decisions across all areas of our company based on experience, skills and integrity. We encourage applicants from all walks of life to apply for our positions, regardless of age, gender, gender identity, disability, sexual orientation, origin, religion and so forth.

Share our values and become part of the team to shape the future of Knauf together.