Data Architect
2 weeks ago
About Refleks:
We are a leading provider of AI and ML-ready data solutions. Our mission is to empower organizations to leverage their existing investments and build intelligent, scalable, and FAIR data frameworks.
Our Vision:
We bridge the gap between data generation and real-world analytics, accelerating the journey from raw data to actionable insights without requiring new technology investments. We've already proven the value of AI-ready data frameworks through successful PoCs and are now helping businesses execute on their data strategy.
Role Description:
We are seeking a Data Engineer who thrives at the intersection of data, cloud technologies, and AI-driven analytics. This is a full-time, on-site role based in the Copenhagen Metropolitan Area.
Your Responsibilities:
- Design, build, and optimize data pipelines and data models.
- Develop scalable ETL and data processing workflows.
- Work with data warehousing and analytics to enable AI/ML-ready data.
- Implement DataOps and MLOps best practices for seamless data operations.
- Collaborate with AI/ML engineers and data scientists to integrate data solutions.
- Advise clients on data architecture, governance, and cloud strategies.
Requirements & Skills:
- Strong technical and architectural thinking—ability to design scalable data solutions.
- Excellent communication & presentation skills—can explain complex ideas to technical & non-technical stakeholders.
- Programming Language— Python.
- Experience with Python, AWS/Azure, and cloud-native data processing tools.
- Expertise in DataOps, MLOps, ETL, and data modeling.
- Hands-on experience with Dbt, Apache Spark, Databricks or other modern data engineering tools.
- Understanding of data governance, lineage, and FAIR data principles.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
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