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Понятная зона ответственности senior-инженера, сфокусированные задачи и сильная команда делают вакансию привлекательной; при этом роль связана с операционными данными и продуктами безопасности, а не с отдельной AI-платформой.
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Актуальные технологииЧёткая ответственностьСильная командаРазвитие и обучение
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (ClickHouse): Designing and operating scalable data models, data products, and production pipelines for Operations analytics and AI applications with an accent on ClickHouse, dbt, data quality, and governance. Focus on integrating diverse data sources, improving reliability, enforcing engineering standards, and balancing scalability with business value.
Location: Lund, Sweden; hybrid workplace
Company
hirify.global develops network technology and security solutions, including video surveillance, access control, intercom, audio systems, and intelligent analytics applications.
What you will do
Design, develop, and maintain data models and data products with ClickHouse and dbt for analytics and self-service reporting across Operations.
Assess and improve existing data models and pipelines, focusing on data quality and reliability.
Design, implement, and maintain ETL/ELT production pipelines integrating internal and external data sources.
Establish and enforce standards for data modeling, testing, monitoring, documentation, metadata management, version control, and data quality.
Build data access, privacy, and governance requirements into data solutions.
Guide technical decisions and select solutions that balance reliability, scalability, and business value.
Requirements
Strong hands-on experience with modern data engineering practices, including workflow orchestration, transformation frameworks, analytical databases, and containerized environments.
Extensive experience designing, building, and operating production-grade data platforms and end-to-end pipelines, typically including 2–5 years of active ownership of existing systems.
Strong skills in SQL, Python, data modeling, and data quality testing, including anomaly detection.
Experience troubleshooting data issues and working with unclear or changing requirements.
Commitment to high industry standards for collecting, managing, and transforming raw data into usable information.
Strong communication and collaboration skills, including cross-functional relationship building, ownership, and knowledge sharing.
Curiosity, adaptability, proactive problem-solving, and the ability to work well face-to-face in a dynamic global environment.
Nice to have
Experience with Airflow, dbt, ClickHouse, and Kubernetes.
Culture & Benefits
Collaborative, innovative, and inclusive work environment with a focus on creativity, diversity, sustainability, and work-life balance.
Continuous learning and professional development opportunities.
Lund headquarters campus designed for collaboration and team activities.
Company bonus, wellness allowance, health insurance, and an Axis bicycle.
Permanent employment with a hybrid workplace.
Hiring process
Applications are reviewed on an ongoing basis.
Some roles may require background checks, with notice provided before verification.
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