(Junior) Data Engineer CRM (m/f/x) at REWE International Dienstleistungsgesellschaft m.b.H

Vienna, , Austria -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Oracle, Snowflake, Data Modeling, ETL, Git, IaC, Terraform, CI/CD, dbt, Data Quality, Data Architecture, Requirements Engineering, Analytical Thinking, Business Processes

Industry

Retail

Description

Company Description As the IT of the REWE International, we work together with our more than 700 employees to develop innovative IT products and services for all our corporate divisions in Austria and abroad, setting the tone for modern trade. Are you passionate about transforming complex data into meaningful insights? Do you thrive at the intersection of data modeling and engineering? We’re looking for a talented Data Engineer to join our CRM Data team, part of the CRM Data & Insights Product Family, and help us build robust, scalable, and business-driven data solutions in the dynamic world of retail. In this role, you’ll play a key part in implementing data models that support customer-centric decision-making across the organization. While your main task is data engineering, we are also looking for someone who communicates openly and is willing to assist our business analysts with requirements engineering. Job Description Planning, development and implementation of an optimal data architecture to provide a high-quality basis for use cases in the field of analytics and reporting Cooperation with analysts, product managers and backend developers to understand and implement data requirements Support in designing and creating new data extraction, transformation and loading processes from different data sources (on-prem & cloud) Build and optimize data pipelines and transformation workflows to support data model implementation and data quality Ensure data consistency, lineage, and governance across systems and domains Continuously improve and refactor existing data models to align with evolving business needs and technical standards Qualifications Several years of professional experience in the areas of data engineering, relational databases and SQL (ideally Oracle) Practical experience with the Snowflake Data cloud platform is a benefit Experience in the conception and creation of data models and ETL processes Technologies and topics such as Git, IaC (e.g. Terraform), CI/CD are not completely new territory for you Hands-on experience with dbt (data build tool) would be desirable Interest in modern data architectures and a passion for data You are characterized by your analytical thinking and good understanding of business processes High level of personal responsibility and ability to learn new technologies in a fast-paced environment You have a good level of written and spoken English Additional Information Long-term, interesting and varied work for a reliable employer in a supportive team A family-friendly company culture with flexible working hours and remote working options available according to your individual needs Staff shopping and travel discounts Numerous training and further development opportunities within the Group (5% of working time for self-organized training and education) Easy public access A wide variety of tasks combined with the flexibility you need to plan your personal life A lunch allowance An industry-standard, attractive and performance based annual gross salary starting at 45.000 Euro (on a full-time basis) with the possibility of higher pay according to experience and qualifications No matter where you are in your career, we have a path for you. Whether you’re looking for your first job, advancement in your field, or a new career shift. We’re proud to employ great people who are passionate about their jobs. But they’re all different. No matter who you are, what you need and where you’re going, REWE Group can be a part of it. Apply now! Please upload your resume to give us insight of your work experience - anonymously if you like! We promote a diverse and inclusive work environment. Therefore, we welcome applications from people of different gender, age, cultural or social background, sexual identity and applications from people with disabilities. In addition, we would like to increase the proportion of women in technical professions and are particularly pleased to receive applications from women for this position. Joblevel Karriereseite: Position mit Berufserfahrung

Responsibilities

The role involves planning, developing, and implementing optimal data architecture for analytics and reporting use cases, while cooperating with analysts and developers to implement data requirements. Key tasks include supporting the design and creation of new ETL processes from various sources and building/optimizing data pipelines.