Job
- Level
- Experienced
- Job Field
- BI, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Winsen (Aller)
- Working Model
- Onsite
Job Summary
In this position, you will analyze source systems, develop and optimize data warehouse architectures and ETL pipelines, while working closely with business units and maintaining a focus on data quality.
Job Technologies
Your role in the team
- With your focus on source system analysis and data warehousing, you play a central role in building our future data platform.
- You are the link between the business departments and IT, ensuring that all relevant company data is integrated into our new Data Warehouse and made usable.
- Analysis and optimization of data sources: You analyze existing source systems, business processes, and data flows, identify optimization potentials, and lay the foundation for efficient data integration.
- Design and further development of the DWH architecture: You develop and optimize Data Warehouse architectures as well as relational and dimensional data models for efficient data storage and analysis.
- Development and operation of ETL/ELT pipelines: You design, implement, and operate robust data integration processes to reliably deliver data from various sources.
- Ensuring Data Quality and Data Governance: You establish measures to guarantee data integrity and quality, and develop solutions for data validation and cleansing in collaboration with the business units.
- Requirements management and collaboration: You work closely with business units and stakeholders, analyze requirements, and translate them into sustainable technical solutions.
- Documentation, support, and knowledge transfer: You create technical documentation, assist with troubleshooting, and ensure successful use of the provided solutions through training and consulting.
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Our expectations of you
Education
- A completed degree in Computer Science, Business Informatics, Data Science, or a comparable qualification with relevant professional experience.
Qualifications
- Proficient in handling SQL securely.
- Knowledge of database technologies (e.g., MS SQL Server, Oracle, PostgreSQL).
- Strong analytical and conceptual skills, problem-solving competence, as well as excellent communication and teamwork abilities.
- A structured, detail-oriented, and independent way of working.
Experience
- Proven experience in data analysis, data management, and ideally in the development or enhancement of data warehouse solutions.
- Experience with programming languages such as Python or R is an advantage.
- Experience with open source systems such as Superset, Dagster, DBT, or similar is highly welcome.
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What we offer
- A permanent employment contract is more than standard with us.
- Whether through well-designed onboarding or personalized training, you will develop professionally and personally with us.
- With JobRad, you can lease high-quality bicycles or e-bikes at favorable terms after six months of employment.
- With us, you receive a freshly prepared lunch daily, which, thanks to employer subsidies, also noticeably eases your wallet.
- Stay fit - right on site: with free access to our in-house gym or during our corporate health days.
- Look forward to exclusive employee discounts at many brands (Corporate Benefits), regular team events, and an open feedback culture.
- An office with a view of the forest. At our location in Winsen (Aller), this is everyday life.
- 28 vacation days. Time to unwind, recharge, and explore.
- We provide you with above-average support for occupational pension schemes and disability insurance.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
JLW Holding AG
JLW Holding AG is a traditional family-run company in its fourth generation based in Winsen (Aller). It combines various business sectors and operates nationwide in Germany, focusing on sustainable entrepreneurial activities.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Agriculture, Silviculture
Data Engineer
- Location
- Winsen (Aller)
- Working Model
- Onsite
- Diversity
- Open for all genders
