Job
- Level
- Senior
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop data pipelines using SQL, Spark, and Python, implement CI/CD practices, and make architectural decisions for AWS or Azure projects as part of a team.
Job Technologies
Your role in the team
- You support our team primarily in the development, operation, and monitoring of data pipelines, utilizing technologies such as SQL, Spark, Python, and Databricks.
- In doing so, you implement software engineering best practices such as CI/CD, testing, and code sharing (Git), ensuring clean and robust processes.
- In diverse projects in AWS or AZURE, you make architecture decisions.
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Our expectations of you
Qualifications
- You enjoy responsibility and working in a team.
Experience
- You have at least 2 years of experience in database, data warehouse, or data lake development.
- You have some experience in software development and programming with languages such as SQL or Python.
- Experience with Amazon AWS or AZURE clouds.
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What we offer
- Our projects are generally focused on the Greater Cologne area or remote.
- We place great importance on a strong team and try to solve project assignments as a team whenever possible.
- In addition to our activities with clients, it is important to us to advance internal projects and innovative data products.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
datasolut GmbH
datasolut GmbH is a consulting firm based in Cologne that assists companies in developing and integrating data-driven solutions. It combines data science, machine learning, software development, and cloud technologies to make data usable for business decisions and operational processes.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Senior Data AI Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
