Data Engineer (m/f/d)

SmartRecruiters, Inc.; GADA Bergkirchen; Hybrid; EUR 65.000 - 100.000; Vollzeit

Benefits dieser Stelle

30 days vacation

Hybrid working model

Company pension scheme

Canteen with subsidized lunch

Individual training and development

Casual dress code

Regular employee events

Job ticket

Free employee parking spaces

Health insurance

Paid time away while you re-energize

Zusammenfassung

REPA Deutschland GmbH in Bergkirchen (relocating to Unterschleißheim by end of 2027) is seeking a Data Engineer to join our data platform team. You will develop, maintain and optimize data pipelines in a Microsoft Fabric environment, collaborating with senior Engineers and business stakeholders to ensure reliable data for reporting and AI initiatives.

Responsibilities include ingesting data into Bronze, transforming in Silver, and maintaining Gold datasets, while driving data quality and

Qualifikationen

• Experience (2-5 years) in Data Engineering, BI or Analytics Engineering.
• Experience with Microsoft Fabric, Azure Data Services or similar technologies.
• Understanding of Azure components and building data pipelines for AI-based applications.
• Experience with SQL and data transformation processes.

Aufgaben

• Support development and maintenance of data pipelines.
• Assist onboarding of new data sources into the Microsoft Fabric platform.
• Support data transformation and data quality activities.
• Maintain datasets used for reporting, analytics, and business processes.
• Collaborate with Data Engineers, Analysts, and Stakeholders to understand data requirements.
• Monitor data processing and assist with issue resolution.
• Contribute documentation and continuous improvement of data processes.

Kenntnisse

Microsoft Fabric

Azure Data Services

SQL

ETL/ELT

Data Warehousing

Data Modeling

Data Quality

ERP data familiarity

Jobbeschreibung

We areREPA Deutschland GmbH, part of the REPA Group - Europe's leading distributor of spare parts for the catering industry, commercial kitchens, refrigeration technology and more. With over 95,000 items from more than 2,000 manufacturers, we offer the largest range on the market. Our 6 warehouses in Europe, 9 locations and over 1,000 employees guarantee fast and reliable service. Our affiliation with Parts Town, the American market leader in high-tech spare parts distribution, gives us even more power. Together we ensure that everything runs smoothly - whether it's a coffee machine, refrigerator or combi-steamer.We are accelerating our digital transformation by leveraging Artificial Intelligence, automation, and data-driven decision making.

Work location: Bergkirchen (relocating to Unterschleißheim at the end of 2027)

Planned start date: January 1, 2027

You will be responsible for supporting the development, maintenance and optimization of data pipelines within our Microsoft Fabric environment. Working closely with senior Data Engineers and business stakeholders, you will help ensure that data is accessible, reliable and available for reporting, analytics and AI-related initiatives.

Your primary focus will be on supporting data ingestion into the Bronze layer, assisting with data transformations within the Silver layer, and contributing to the maintenance of business-ready datasets in the Gold layer. You will collaborate with other Data Engineers to establish new data connections and support data quality initiatives across the organization.

REPA is currently on a journey to consolidate and modernize its enterprise data landscape. As a Data Engineer, you will play an important role in supporting the development of our data platform and ensuring that trusted data is available across the business.

Job Description

• Support the development and maintenance of data pipelines.
• Assist in onboarding new data sources into the Microsoft Fabric platform.
• Support data transformation and data quality activities.
• Maintain and enhance datasets used for reporting, analytics, and business processes.
• Collaborate with Data Engineers, Analysts, and Business Stakeholders to understand data requirements.
• Monitor data processing and support issue resolution when required.
• Contribute documentation and continuous improvement of data processes

Qualifications

• Experience (2-5 years) in Data Engineering, Business Intelligence or Analytics Engineering.
• Experience with Microsoft Fabric, Azure Data Services or similar technologies.
• Understanding of Azure components and using them efficiently to build data pipelines for AI based application
• Experience working with SQL and data transformation processes.
• Understanding of data warehousing concepts and ETL/ELT processes.
• Experience working with cloud-based data platforms.
• Experience working with ERP or business application data is beneficial.
• Basic understanding of data modellingand data quality concepts.

Personal Skills:

• Ability to operate independently while working as part of a team.
• Fluent in English, both verbal and written.
• Pro-active mindset and eager to learn new technologies.
• Strong analytical and problem-solving skills.
• Detail-oriented with a focus on data quality.
• Good communication skills and ability to work with technical and business stakeholders.
• Ability to prioritize tasks and manage multiple activities simultaneously.
• Team player with a collaborative mindset.

Additional Information

In addition to a secure job in an internationally successful, fast-growing and family-friendly group of companies, you can also expect:

• 30 days vacation
• Hybrid working modelwith flexible working hours and flexitime account in a 40-hour week
• Company pension scheme
• Canteenwith subsidized lunch
• Individual training and development opportunities
• Casual dress code
• Regular employee events
• Job ticket
• Free employee parking spaces
• All the traditional benefits like health insurance, paid time away while you re-energize - don't worry, we've got you covered

REPA welcomes diversity and is an equal opportunities employer. All qualified applicants are considered regardless of race, religion, skin color, national origin, gender, age, sexual orientation, gender identity or disability.