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Hiscox is a specialist insurance company serving both businesses and individuals with coverage designed for complex and distinctive risks. Its offerings span reinsurance, art and private client insurance, specialty and property cover, and direct products for personal, household, commercial, travel, and event needs. With roots dating back to 1901, Hiscox combines insurance expertise with a focus on responsive customer service across its international operations.
Junior Data Engineer – Hiscox, Lisbon
Help build cloud data pipelines and products that support Hiscox reinsurance analytics. Work with Snowflake, Azure, GCP, Python, SQL, and dbt while learning data governance and DevOps practices.
Description
- Help build and maintain data pipelines and products throughout their lifecycle.
- Deliver defined engineering tasks with guidance from senior and Lead Data Engineers.
- Support accurate, accessible data for analytics and reporting.
- Help deliver business value incrementally through agile practices.
- Contribute to proofs of concept and experimentation.
- Apply cloud engineering and DevOps practices, including CI/CD and testing.
- Build solutions on platforms including Snowflake, Azure, and GCP.
- Write readable, maintainable code with Python, SQL, dbt, and orchestration tools.
- Participate in code reviews and incorporate feedback.
- Monitor pipelines and help investigate issues.
- Collaborate with data engineers, data scientists, and stakeholders.
- Help Product Owners deliver data solutions.
- Join the Data Engineering Chapter and share knowledge.
- Help business users understand data.
- Follow practices for data governance, quality, and security.
- Support pipeline validation, lineage, and monitoring.
- Document data products and pipelines.
- Build awareness of cost-efficient solution design.
- Help improve pipeline performance and scalability.
- Help monitor platform usage.
Requirements
- Around 1–2 years of experience or exposure to data engineering, software development, or analytics.
- Working knowledge of SQL.
- Basic programming experience, preferably with Python.
- Awareness of cloud platforms such as Azure or GCP.
- Awareness of data warehouse technologies such as Snowflake.
- Familiarity with source control and interest in CI/CD and automated testing.
- Basic understanding of data modelling concepts, including OLTP and OLAP.
- Familiarity with structured and semi-structured data.
- Exposure to SQL databases.
- Willingness to own assigned tasks and complete them.
- Pragmatic problem-solving skills.
- Interest in agile work environments.
- Strong communication skills.
- Ability to work in cross-functional teams.
- Openness to feedback and coaching.
- A degree in Computer Science, Engineering, Mathematics, Data Science, or a related field is desirable.
- Exposure to orchestration tools such as Prefect, Airflow, or ADF is beneficial.
- Exposure to dbt or similar transformation tools is beneficial.
Benefits
- Hybrid work arrangement.
- Learning and development through guidance, feedback, coaching, and knowledge sharing.
- Participation in the Data Engineering Chapter.
- Opportunities to work with modern cloud technologies and engineering practices.
- Agile working practices.
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