Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design and implement scalable data warehouse architectures on Google Cloud Platform, optimize ETL pipelines, and develop end-to-end data science solutions for data-driven business processes.
Job Technologies
Your role in the team
- You design, implement, and optimize scalable Data Warehouse and Data Lakehouse architectures based on Google Cloud Platform (GCP), and are responsible for the strategic and operational execution of Data Science and Data Engineering initiatives.
- You develop and implement end-to-end data science solutions, from initial data acquisition to final model deployment.
- You build robust and high-performance ETL/ELT pipelines in both batch and real-time operations to seamlessly integrate a wide variety of data sources.
- You use tools like Terraform for Infrastructure as Code to manage our GCP resources efficiently, securely, and automatically.
- You operate your solutions yourself (SRE - Site Reliability Engineering).
- You monitor existing data flows, optimize SQL queries in BigQuery, and ensure consistent data quality as well as Data Governance.
- You work closely as a liaison with data scientists, analysts, and software developers to deliver tailored data products.
- You create reports in Looker for your internal clients and integrate data-driven insights directly into business processes in close collaboration with stakeholders.
- You shape the company-wide strategy as well as the implementation of generative AI technologies and identify innovative use cases for the future.
- You drive knowledge multiplication forward and train colleagues in modern data science methods as well as best practices.
- You set up observability tools, dashboards, and alerts to monitor the system status.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Comprehensive knowledge in Big Data Analytics, Data Mining, and the practical application of Large Language Models (LLMs).
- Familiarity with modern DataOps approaches, dbt (data build tool), and Infrastructure as Code (Terraform).
- Strong analytical skills and a high process understanding to quickly grasp complex issues and seamlessly integrate data science solutions into existing IT infrastructures.
- A structured way of working, strong team skills, and excellent communication skills.
- Fluent in German and English, both written and spoken.
Experience
- Extensive professional experience in Data Engineering as well as proven practical expertise in designing Cloud data architectures.
- In-depth knowledge of GCP core technologies (especially BigQuery and Looker), a solid understanding of Cloud Computing, and experience in database management (SQL, NoSQL, SAP S/4HANA).
- Excellent programming skills in Python and SQL. Experience with Docker and CI/CD pipelines (e.g., GitHub Actions, GitLab CI) is a big plus.
- Experience in the conception, implementation, and management of end-to-end projects using agile methodologies.
- Experience in operation and monitoring of solutions.
This text has been machine translated. Show original
What we offer
- Integration into a dedicated IT team with a high level of collegiality, a strong passion for data-driven innovations, and great anticipation of your technical expertise.
- A modern workplace at the Hannover location with optimal connectivity at Lister Platz, as well as the option for up to 50% remote work per month from home office.
- High flexibility through flexible working hours and an outstanding company restaurant at the Hannover location.
- Attractive additional benefits through JobRad, the DeutschlandTicket as a job ticket, and a variety of sports and health offers via Hansefit.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Bahlsen GmbH & Co. KG
Bahlsen ist eines der bekanntesten deutschen Familienunternehmen. Seit der Gründung 1889 steht der Name für verlässliches, konsequentes und zukunftsorientiertes Handeln, bekannten Marken wie z.B. BAHLSEN, LEIBNIZ, PiCK UP! und RAWBITE, innovative Produkte und profitables Wachstum - national sowie international. Den anhaltenden Erfolg verdankt Bahlsen der Leidenschaft seiner rund 2.700 Mitarbeiter.
Description
- Company Size
- 250+ Employees
- Founding year
- 1889
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Food Products
Data Scientist / Engineer
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
