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Data Engineer

Posted 8 hours 17 minutes ago by Whitehall Resources Ltd

Contract
Not Specified
Factory Jobs
Not Specified, Denmark
Job Description

Data Engineer

Whitehall Resources are currently looking for a Data Engineer.

Key Requirements:

- Looking for a medior Data Engineer to build E2E data pipelines using Azure Data factory and Azure Databricks.
- Design and develop data pipelines: Using ADF to orchestrate the flow of data from various sources to destinations.
- Implement data transformations: Using Azure Databricks to process and transform data as needed.
- Ensure data quality and reliability: By monitoring and troubleshooting the pipelines.
- Collaborate with stakeholders: To understand data requirements and deliver solutions that meet business needs.

Key Experience:

- Databricks (expert-level).
- Unity Catalog.
- Spark.
- SQL (expert-level).
- Python (expert-level).
- Azure data stack (Azure Data Factory, Azure Databricks).
- DataOps (DevOps/CICD for data).
- Experience with SAP data extraction is an advantage.
- Previous experience with datamesh concept.
- Power BI Visualizations/Datamodelling is an advantage.
- Excellent written and verbal communication skills in English with data storytelling are prerequisites for this role.
- Strong analytical and creative mindset with empathy to grasp user needs and solve problems.
- Cross functional collaboration, working in Matrix organization, background of project or product management.
- Good interpersonal skills and ability to work cross-capability with a mix of internal and external consultants.
- Fluency in English is must/Danish - optional.

All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.

Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.

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