In your role as a Data Expert, you can work in an ever-evolving agile way of working where you will be part of an empowered product team that strives for continuous learning and improvement. Providing support, guidelines and best practices on creating and operating data products. Creating and maintaining data products based on business requirements. You will collaborate with your Product Owner to ensure the right functionality is being developed and the work package can be broken down into tangible items with complexity estimation to be able to plan upcoming sprints. You will determine and maintain the technical design in our area within the given architectural guidelines. Interacting with stakeholders and System Architect is an equally important part of your daily work.
Requirements
- Python.
- Apache Spark.
- Bash.
- Table formats (Delta).
- Cloud Platform technology (Azure).
- Docker.
- Data Platforms (Databricks/Snowflake).
- Github.
Required Skills
- We believe you have experience in related fields, that you are familiar with Agile methods, and that you are fluent in English, both verbal and written.
- Deep knowledge and passion for modern data architecture principles.
- Experience in design, development and operation of data pipelines.
- Extensive hands-on experience as a Data Engineer in an agile environment.
- Comfortable working independently and collaboratively.
- Pragmatic approach, understanding the trade-offs between the perfect solution and a working solution.
- Passion for improving code quality as well as data quality.
- Knowledgeable about data modeling, data access, and data storage techniques.
- Experience with cloud technologies (Azure and AWS).
- Experience in applying data privacy and protection methods/tools.
Desired Skills
- Knowledge in Software Engineering.
- System Design.
- SQL.
- Orchestration Tools (Airflow/Prefect/Dagster).
- Data Streaming (Apache Kafka).
- CI/CD toolchain.
- IaC.
- GitOps.
- DevOps and Networking is essential.
Personal Skills
- Applying product thinking in working with data.
- Data governance.
- Modern data architecture such as data mesh.
- Experience in creating reports for conveying business information or insights.
