Data engineer in insurance

Hiscox; Lisboa; On-site; EUR 25,000 - 38,000; Full time

Benefits offered by this job

Уникальная культура

Job summary

Hiscox ищет начинающего инженера по данным для поддержки разработки и обслуживания конвейеров данных и продуктов. Вы будете работать в команде RE-технологий под руководством лидов и старших инженеров, чтобы обеспечить безопасные, надежные и экономичные решения на облачных и локальных платформах.

Кандидат должен быть готов развиваться в области данных, владеть SQL и Python, знакомиться с dbt, Airflow/Prefect и участвовать в эксплуатации CI/CD, мониторинге и улучшении производительности конвейеров.

Qualifications

• Опыт работы с данными или аналитикой 1-2 года.
• Базовые знания SQL.
• Базовое программирование на Python.

Responsibilities

• Поддержка разработки и поддержки конвейеров данных и продуктов данных.
• Реализация задач по данным под руководством старших инженеров.
• Обеспечение точности и доступности данных для аналитики и отчетности.
• Участие в итеративной доставке ценности бизнеса с использованием agile.

Skills

SQL

Python

dbt

CI/CD

Education

Степень в CS/Engineering/Math/Data Science

Tools

Snowflake

Azure

GCP

Job description

Описание

The Junior Data Engineer is an entry-level, hands-on technical role within the RE technology team, supporting the development and maintenance of data pipelines and data products that support business analytics, underwriting, and decision-making. You will work under the guidance of Lead and senior Data Engineers, alongside Data Scientists, Product Owners, and business stakeholders, to help deliver secure, reliable, and cost-effective data solutions across cloud and on-premises platforms.

Задачи

• Support the build and maintenance of data pipelines and data products across the data lifecycle
• Implement well-defined data engineering tasks under the guidance of senior and Lead Data Engineers
• Help ensure data is accurate and accessible for analytics and reporting
• Contribute to incremental delivery of business value using agile practices
• Assist with Proofs of Concept and experimentation
• Learn and apply best practices in cloud data engineering and DevOps, including CI/CD and testing
• Develop using modern platforms such as Snowflake, Azure, and GCP
• Write clear, maintainable code using Python, SQL, dbt, and orchestration tools
• Take part in code reviews and act on feedback
• Assist with monitoring and troubleshooting of pipelines
• Work closely with Data Engineers, Data Scientists, and stakeholders
• Support Product Owners in the delivery of data solutions
• Participate in the Data Engineering Chapter and knowledge sharing
• Help business users with data understanding
• Follow data governance, quality, and security best practices
• Support validation, lineage, and monitoring within pipelines
• Contribute to documentation of data products and pipelines
• Develop an awareness of cost-efficient solution design
• Support the optimisation of pipelines for performance and scalability
• Assist with monitoring of platform usage

Требования

• Some experience or exposure to Data Engineering, software development, or analytics (typically 1-2 years)
• Working knowledge of SQL
• Basic programming experience, ideally in Python
• Awareness of cloud platforms such as Azure or GCP
• Awareness of data warehouse technologies such as Snowflake
• Familiarity with source control and an interest in CI/CD practices and automated testing
• Basic understanding of data modelling concepts (OLTP, OLAP)
• Familiarity with structured and semi-structured data
• Exposure to SQL databases
• Willingness to take ownership of assigned tasks and deliver them to completion
• Pragmatic problem-solving approach
• Interest in working in agile environments
• Strong communication skills
• Ability to work in cross-functional teams
• Openness to feedback and coaching
• Будет плюсом: Exposure to orchestration tools such as Prefect, Airflow, or ADF is beneficial;
• Exposure to dbt or similar transformation tools is beneficial;
• Degree in Computer Science, Engineering, Mathematics, Data Science, or a related field;
• Awareness of data governance concepts;
• Exposure to BI tools such as Power BI or Dataiku;
• Exposure to legacy tools such as SQL Server or SSIS

Условия

Work with amazing people and be part of a unique culture