Data Engineer
Role details
Job location
Tech stack
Job description
- Design and develop data pipelines using Azure Data Factory and Azure Databricks.
- Integrate data from core insurance systems.
- Ensure data quality, governance, and traceability.
Conocimientos
Data pipelines using Azure Data Factory Azure Databricks Python SQL ETL/ELT processes, * Design and develop data pipelines using Azure Data Factory and Azure Databricks.
- Integrate data from core insurance systems such as policies, claims, and customer platforms.
- Build and maintain data models in Azure Synapse and Azure Data Lake for analytics and reporting.
- Ensure data quality, governance, and traceability across the data platform.
- Collaborate with Data Science, BI, and business teams to deliver data solutions.
- Support the development and evolution of the enterprise data platform in Azure.
- Contribute to best practices in data engineering, data governance, and data architecture.
Benefits
- Rapid growth through a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions.
- Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars, and workshops.
- Take control of your training with a personal annual budget and company-paid certifications.
- Enjoy adaptable policies, remote work options, and excellent social benefits such as transport and restaurant tickets, childcare support, and private health insurance.
- Benefit from our WeCare programme, which supports employees in critical situations.
- Unlock your full potential, both professionally and personally.
Requirements
The ideal candidate will have 3+ years of experience, strong programming skills in Python and SQL, and experience with Azure Data Factory and Azure Databricks., * 3+ years of experience working as a Data Engineer.
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Strong experience building and maintaining data pipelines.
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Fluent English required; Spanish is a plus., Take your career to the next level with Amaris Consulting as a Data Engineer. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will have a proven track record in building scalable, high-quality applications and is comfortable working across the entire stack. What would you need?
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3+ years of experience working as a Data Engineer.
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Strong experience building and maintaining data pipelines using Azure Data Factory and Azure Databricks.
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Hands-on experience working with Azure Synapse Analytics and Azure Data Lake.
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Strong programming skills in Python and SQL.
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Solid understanding of ETL/ELT processes, data modeling, and data lake architectures.
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Experience integrating data from core business systems.
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Experience in regulated environments such as insurance or finance is a plus.
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Ability to collaborate with cross-functional teams including Data Science, BI, and business stakeholders.
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Fluent English required; Spanish is a plus.