Headquarters
Data Engineer
In This Role You Will;
- Convert technical requirements into efficient and maintainable data pipelines
- Collaborate closely with Data Scientists
- Share best practices and knowledge with Data Engineers
- Develop and maintain in-house software
- Improve the underlying (cloud) infrastructure
- Ensure code quality through best practice software principles and DevOps practices
- Help to maintain the Data Acquisition Platform
NB: While the responsibilities above apply to a wide range of roles (Data Engineer / DevOps engineer / Software Engineer), we expect successful candidates to be proficient in some respects and knowledgeable in others.
To Succeed you need:
- At least 3 years’ experience in Software Development in a professional environment
- Bachelor / Masters in a relevant field
- Familiarity with Agile methodologies
- Adaptability and experience working in fast-paced, dynamic environments
- Proficiency in Python
- Experience with monitoring tools like Sentry, Prometheus, Grafana, Spark, Databricks
- Experience with BI and/or data visualization tools like Power BI
- Experience developing and maintaining (micro) web-services
- Experience in Kubernetes, SQL, relational databases – ideally PostgreSQL
- Familiarity with Cloud-first architectures (we use Azure)
Headquarters
Data Engineer
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