Data Engineer

hace 1 mes


Madrid, Madrid, España Basf Digital Solutions S.L. A tiempo completo

About Us
BASF Digital Solutions S.L. is a leading digital solutions provider that develops innovative digital solutions for BASF. Our team is passionate about creating new exciting customer experiences and business growth, and driving efficiencies in processes to strengthen BASF's position as the digital leader in the chemical industry. We believe in the power of creativity, trial and error, and great people working and learning together.

Job Description
We are seeking a highly motivated and detail-oriented Data Engineer to join our team. As a Data Engineer, you will be responsible for the development of new and existing software and data pipelines with Python and Databricks, and maintaining/developing CI/CD pipelines and processes in an ambitious team. Your primary focus will be on ensuring the scalability, reliability, and security of our Big Data platform built on Azure PaaS components EDL (Enterprise Data Lake).

Responsibilities
- Develop, analyze, improve, and test quality software to meet both user and internal needs.
- Experience developing data pipelines, troubleshooting, and implementing data quality control measures to ensure data's accuracy and consistency.
- Work in a cloud environment (Azure and Databricks).
- Collaborate with users and the data science team to understand their data needs and provide suitable solutions.
- Test new features and improvements and suggest their implementation if beneficial.
- Demonstrate fluent communication skills in English (spoken and written).

Qualifications
- Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.
- Minimum 3-4 years related working experience as DataOps Engineer using Azure, Python, Azure Data Factory, and Databricks.
- Strong software engineering and development skills with Python and Git.
- Experience with Databricks and Azure's cloud environment.
- Experience with databases, data structures, and data manipulation.
- Experience in an Agile way of working with a DevOps mindset.
- Knowledge in automation & scripting with tools like Azure DevOps pipelines, etc.
- In-depth knowledge with Big Data concepts and Databricks.
- Team player with strong interpersonal, written, and verbal communication skills.



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