Job
- Level
- Experienced
- Job Field
- BI, Database
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines, integrate data sources, and optimize data quality for reporting and analytics in Microsoft's on-premises and Azure environments.
Job Technologies
Your role in the team
- As a Data Engineer (m/f/d), you develop and operate the data infrastructure that underpins our reports, analyses, and data-driven business processes.
- You ensure that data from different sources is reliably, securely, and of high quality available where it is needed.
- You will work in the current on-premise environment of Microsoft (MSSQL, Integration Services, Analysis Services, Reporting Services, and Power BI), and in the future, on modern data solutions in the Microsoft Azure environment, overseeing data from integration through processing to deployment in the Data Warehouse or Lakehouse.
- You can expect a responsible position at the intersection of technology, data, and business units, as well as a varied range of tasks with room for initiative and technical development.
- You have the opportunity to actively shape modern data solutions in the Microsoft On-Premise and Azure environment and to sustainably improve data quality, transparency, and efficiency within the company.
- You design, develop, and operate scalable ETL/ELT data pipelines.
- You connect structured and unstructured data sources as well as APIs.
- You model, transform, and prepare data for reporting, BI, and analytics.
- You design databases for custom programs and help ensure the performance of the programs.
- You further develop database, data warehouse, and lakehouse structures.
- You automate data processing and provisioning processes.
- You establish tests for data quality, completeness, timeliness, and consistency.
- You analyze errors in data pipelines and ensure stable operation.
- You consider data protection, authorization concepts, security, and data governance requirements.
- You document data flows, interfaces, data models, and operational processes in a comprehensible manner.
- You work closely with BI, Analytics, IT, and the business units.
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Our expectations of you
Qualifications
- Excellent knowledge of SQL and Python.
- Good knowledge of data modeling and the development of database, Data Warehouse, or Lakehouse structures.
- Understanding of data quality, data governance, data lifecycle, and access control.
- Ability to clearly document and communicate technical contexts.
- A structured, solution-oriented, and self-responsible way of working.
- Very good spoken and written German skills (at least B2 level), English skills are an advantage.
Experience
- Several years of professional experience in Data Engineering or a comparable data-oriented IT role.
- Experience in the development and operation of ETL/ELT pipelines.
- Experience with version control, automated deployments, and fundamental CI/CD principles.
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What we offer
- Flexible working hours: flexitime and hybrid work (50% on-site in Hamburg, 50% remote).
- Transparent time tracking with overtime compensation.
- 30 vacation days + Christmas Eve & New Year's Eve off + half a vacation day on your birthday.
- Individual onboarding & intensive training.
- Performance-based compensation.
- Subsidies for public transportation, Jobrad, sports and health initiatives, corporate benefits.
- Individual promotion of further training.
- Digital work environment, network with over 1,000 employees.
- Team events (summer party, Christmas party).
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Benefits
Health, Fitness & Fun
Food & Drink
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
EDEKA ZENTRALE AG & Co. KG
The EDEKA headquarters in Hamburg is a strategic tool for the further development of the EDEKA network. From here, numerous impulses are sent out to realize cross-sectional goals.
Description
- Founding Year
- 1907
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.5
Workingconditions
4.4Engineering
3.0Career Growth
3.2Culture
3.6
Data Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
