Data Engineer(m/f/d)

Knauf; Katowice; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Permanent contract

Flexible working hours

Weekly remote days

Discounts on sports and leisure

Parking and public transport access

Welcome days and onboarding

Career development support

Creative office environment

Job summary

Knauf Information Services GmbH is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines on Azure, Databricks, and Kafka. You will automate ETL/ELT workflows, implement data models and governance, and collaborate with data scientists and engineers to deliver trusted datasets.

The role emphasizes security, compliance, and DevSecOps practices, with opportunities to grow in a federated, Agile environment across data platforms and analytics projects.

Qualifications

• You have 5+ years of experience in data engineering, ETL development or big-data technologies, with hands-on expertise in Databricks, Kafka and GitHub.
• You are experienced in designing and optimising ETL/ELT workflows using tools such as Airflow, Azure Data Factory and cloud platforms including Azure Synapse and Databricks.
• You have strong knowledge of data modelling, including Data Vault 2.0, star schema, Party Model and normalisation strategies; DataSphere experience is an advantage.
• You are proficient in SQL and Python, Scala or Java, with experience in Spark, Hadoop, Kafka, Event Hubs, Infrastructure as Code, data security, governance, lineage and regulatory compliance.
• You work effectively in federated Agile and DevSecOps environments, using observability tools such as Monte Carlo, Datadog or Great Expectations, and can influence architectural decisions while improving pipeline performance, availability and engineering standards.

Responsibilities

• Design, build and optimise scalable data pipelines and cloud-native infrastructure for batch and real-time processing, using Azure, Databricks and Kafka.
• Develop and automate ETL/ELT workflows for efficient data ingestion, transformation, storage and orchestration using tools such as Airflow, Azure Data Factory or Prefect.
• Develop scalable data models and ensure data quality, reliability, consistency and governance across data lakes, warehouses and operational data stores.
• Strengthen data security, compliance and operational resilience by applying RBAC, ABAC, encryption, GDPR requirements, monitoring, troubleshooting and recovery practices.
• Collaborate with data scientists, analysts and federated engineering teams to deliver trusted datasets, adopt new technologies, align architecture with business needs and mentor junior engineers.

Skills

Databricks

Kafka

GitHub

SAP Datasphere

Airflow

Azure Data Factory

Azure Synapse

Prefect

Data modelling

SQL

Python

Scala/Java

Spark

Hadoop

Event Hubs

Infrastructure as Code

Data security & governance

Agile & DevSecOps

Observability tools

Tools

Airflow

Azure Data Factory

Prefect

Monte Carlo

Datadog

Great Expectations

Job description

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 43,500 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 GmbHis 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

• Design, build and optimise scalable data pipelines and cloud-native infrastructure for batch and real-time processing, using Azure, Databricks and Kafka.




• Develop and automate ETL/ELT workflows for efficient data ingestion, transformation, storage and orchestration using tools such as Airflow, Azure Data Factory or Prefect.




• Develop scalable data models and ensure data quality, reliability, consistency and governance across data lakes, warehouses and operational data stores.




• Strengthen data security, compliance and operational resilience by applying RBAC, ABAC, encryption, GDPR requirements, monitoring, troubleshooting and recovery practices.




• Collaborate with data scientists, analysts and federated engineering teams to deliver trusted datasets, adopt new technologies, align architecture with business needs and mentor junior engineers.

Who you are

• You have 5+ years of experience in data engineering, ETL development or big-data technologies, with hands-on expertise in Databricks, Kafka and GitHub. SAP Datasphere is an advantage.




• You are experienced in designing and optimising ETL/ELT workflows using tools such as Airflow, Azure Data Factory and cloud platforms including Azure Synapse and Databricks.




• You have strong knowledge of data modelling, including Data Vault 2.0, star schema, Party Model and normalisation strategies; DataSphere experience is an advantage.




• You are proficient in SQL and Python, Scala or Java, with experience in Spark, Hadoop, Kafka, Event Hubs, Infrastructure as Code, data security, governance, lineage and regulatory compliance.




• You work effectively in federated Agile and DevSecOps environments, using observability tools such as Monte Carlo, Datadog or Great Expectations, and can influence architectural decisions while improving pipeline performance, availability and engineering standards.

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 GmbHis 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.