Job
- Level
- Experienced
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 46.500 to 65.000€ Gross/Year
- Location
- Linz, Wels, Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop, implement, and maintain scalable ETL/ELT pipelines, optimize data structures, and ensure the delivery of consistent data across various systems.
Job Technologies
Your role in the team
- You develop, implement, and maintain scalable ETL/ELT pipelines for data integration and actively support the migration.
- You develop robust loading processes and interfaces to automate the extraction of raw data and load it into the data platform.
- You make complex data sets usable for BI tools through intelligent transformations and sustainably simplify data structures.
- You build new data products and continuously develop them within our modern cloud data platform.
- You model, optimize, and document data models and data pipelines to provide reliable data for self-service analytics.
- You perform data quality checks and ensure the timely delivery of consistent, error-free data across various systems.
- You optimize existing data infrastructures in terms of performance, stability, and maintainability, ensuring secure data handling throughout the entire process.
- You manage the technical interface to stakeholders, Product Owners, development teams, as well as BI colleagues, thereby ensuring the operational daily business in an agile environment (Scrum & Kanban).
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Our expectations of you
Qualifications
- You possess solid programming skills in Python and a strong affinity for modern data platform development - ideally utilizing AI-powered tools.
- You have good basic SQL skills and are confident in working with relational databases.
- You have a strong understanding of interfaces and enjoy building complex ETL/ELT pipelines and data integration platforms hands-on.
- You have a precise, structured, and solution-oriented working style and the ability to translate technical requirements directly and pragmatically into stable data products.
- You excel in communication skills within a technical context while maintaining a focused work style.
- You possess business-fluent German and English skills.
Experience
- You have at least 3 years of professional experience in a Data Engineering environment or a similar role (e.g., Data Engineer, Data Warehouse Engineer, Data Platform Engineer).
- Ideally, you have experience with cloud-based data platforms such as Databricks or Google BigQuery, as well as with BI/visualization tools like Power BI.
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What we offer
- Health & Well-being: Free coffee, tea, beverages, fresh fruit and vegetables, as well as discounted meals in the cafeteria or meal allowances (location-dependent).
- Modern workplaces for all needs.
- Culture & Development: We value personal responsibility, flat hierarchies, and open feedback.
- We foster a team spirit where support and collaboration are highly valued.
- Enjoy 2 Learning Days per quarter, an internal learning campus, and external development opportunities.
- Flexible Work-Life Balance: Enjoy flexible working hours and various options for remote work.
- Celebrations & Milestones: Team events and special acknowledgments for birthdays & anniversaries.
- Location-specific benefits: Tailored benefits designed to meet the needs of each location.
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Benefits
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏠Home Office
- 🚌Excellent Traffic Connections
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Health, Fitness & Fun
Food & Drink
More net
Topics that you deal with on the job
Job Locations
This is your employer
XXXLutz KG
Wels, Wien
Since over 65 years, XXXLutz has been providing attractive and safe jobs with excellent earnings and career opportunities. More than 20,900 employees find interesting and exciting tasks in diverse areas of work.
Description
- Company Size
- 250+ Employees
- Founding year
- 1945
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.7
Culture
3.5Career Growth
4.1Workingconditions
3.8Engineering
3.5