Data Engineer

Vaillant Group Belgium; Katowice; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work model

Health & Wellness support

Time off & balance

Financial perks

Growth & Development

Culture & Community

Job summary

Vaillant Group in Katowice, Poland, is seeking a Data Engineer to build and maintain data products on a modern Databricks platform. You will collaborate with data scientists and engineers to deliver reliable datasets for AI, reporting and analytics, developing data pipelines, models and platform capabilities that make data easy to find, trust and use.

You will work with analysts and stakeholders to understand requirements, implement reliable data solutions, and help govern data quality and

Qualifications

• A degree in Computer Science, Software Engineering, Data Engineering or a related field.
• At least 3 years of hands-on experience building and maintaining data pipelines and data solutions.
• Strong Python skills; Databricks, PySpark, Delta Lake and Azure experience.
• Languages: English at B2 level or higher.

Responsibilities

• Build and maintain data pipelines using Databricks and PySpark.
• Develop data products using modern Databricks capabilities such as Unity Catalog, Apache Spark Declarative Pipelines and Delta Lake.
• Create and improve data models that support reporting, self-service analytics and data science projects.
• Monitor pipeline health, troubleshoot issues and improve reliability, performance and cost efficiency.
• Work with analysts, data scientists and business stakeholders to understand requirements and deliver practical data solutions.
• Help establish data standards, data quality controls and governance practices across the platform.
• Contribute to the continuous improvement of the Databricks environment and engineering ways of working.

Skills

Python programming

Data modelling

Data pipeline development

Ownership & problem solving

Team collaboration

Education

Degree in Computer Science / Software Engineering / Data Engineering or related field

Tools

Databricks

PySpark

Delta Lake

Azure

Unity Catalog

Job description

Building long-term digital solutions at scale for our customers and employees. And enabling our employees to push their own boundaries and developing in their own individual way. Both count. Both are us.

Company: Vaillant Group Location:Katowice-POL Country: Poland (PL) Brand: Vaillant Group

Contract type: Permanent Working time: Full-time

What we achieve together

As a Data Engineer, you will build and maintain data products on a modern Databricks platform. You will work with data science & engineering teams to deliver reliable datasets used in AI solutions, reporting, analytics. Your focus will be on developing and operating data pipelines, data models and platform capabilities that make data easy to find, trust and use.

• Build and maintain data pipelines using Databricks and PySpark.
• Develop data products using modern Databricks capabilities such as Unity Catalog, Apache Spark Declarative Pipelines and Delta Lake.
• Create and improve data models that support reporting, self-service analytics and data science projects.
• Monitor pipeline health, troubleshoot issues and improve reliability, performance and cost efficiency.
• Work with analysts, data scientists and business stakeholders to understand requirements and deliver practical data solutions.
• Help establish data standards, data quality controls and governance practices across the platform.
• Contribute to the continuous improvement of the Databricks environment and engineering ways of working.

What makes us successful together

• Qualification: A degree in Computer Science, Software Engineering, Data Engineering or a related field.
• Experience: At least 3 years of hands-on experience building and maintaining data pipelines and data solutions.
• Technical skills: Strong Python skills. Experience with Databricks, PySpark, Delta Lake and Azure. Familiarity with Unity Catalog, data modelling and automated data processing workflows is a plus.
• Platform operations: Experience monitoring data pipelines, investigating failures and improving reliability and performance.
• Nice to have: Experience with Apache Spark Declarative Pipelines, CI/CD, DataOps practices (including Declarative Automation Bundles).
• Working style: You take ownership, communicate clearly and enjoy solving data engineering problems together with others.
• Languages: English at B2 level or higher.

What you can count on

• Flexible work model: adjustable starting times (7:30 - 9:00AM), hybrid work 70/30, and up to 30 days of remote work from abroad from selected countries.
• Health & Wellness support : private medical care (Medicover), sports card subsidy (Multisport), group insurance (Warta), and ergonomic office spaces.
• Time off & balance: additional paid 2 days off and subsidies for recreation.
• Financial perks: up to 30% discount on company products, support for commuting and eyewear.
• Growth & Development: access to internal training, mentoring programs, self-learning platform for languages (eTutor) and international projects.
• Culture & Community: company events, family friendly activities, and open opportunities within Vaillant Group.

What makes us special

We take care of a better climate. In every home and our environment. As a successful family business, we have been living up to this claim for over 150 years. We are one of the world's leading providers of heat pumps, digital services and efficient gas heating appliances and offer energy-saving solutions.

You will find sustainability everywhere at the Vaillant Group. In the office, at the production sites and on the road. Around 16,000 employees from over 70 countries are committed to this every day. As an international team, we take responsibility - for our future and that of our planet. We promote your personal development so that you can act with passion and together we can ensure a better climate.

Become part of the Vaillant Group and help us shape the future of heating!

We promote equity and do not tolerate any form of discrimination. We value the uniqueness of each individual and encourage all people to apply.