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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный практический фокус на data engineering, заметная техническая ответственность и наставничество; в сервисной компании проекты со временем могут меняться.
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Engineer (Palantir): Designing and developing data-processing and data-persistence components for data-intensive solutions with an accent on scalable ETL/ELT pipelines, distributed data processing, and analytical data modeling. Focus on leading engineering teams, tuning performance and robustness, enforcing testing and operational standards, and integrating secure production-ready software.
Location: Belfast, United Kingdom
Company
hirify.global is a high-growth IT services company providing digital technology solutions and agile software development for enterprise customers, including government, NHS, and private-sector organizations.
What you will do
Design, develop, test, and resolve defects in data-processing and data-persistence components or subsystems that handle data at scale.
Lead hands-on development using open-source and commercial platforms, including responsibility for software product due diligence and integration.
Define and enforce development, testing, deployment, and operational-readiness standards.
Work with architects and Operations teams on the robustness, performance, tuning, troubleshooting, and operational readiness of ETL/ELT pipelines.
Collaborate with Security Architects and accreditors to meet legal and security requirements.
Advise customers, managers, and team members on estimates and technical implications; contribute to technical proposals and manage, coach, and develop a small number of staff.
Requirements
Experience leading a team of engineers implementing data-intensive system components.
Experience applying design patterns, development style guides, automation, deployment, and operational-readiness standards.
Proficient software development experience in Java, Scala, or Python.
Strong commercial experience working with Palantir.
Software development experience with data-processing platforms from AWS, Azure, GCP, or Databricks.
Expertise in SQL or SQL extensions for analytical use cases, distributed data stores, and data-processing frameworks.
Ability to communicate technical designs clearly in writing and verbally.
Proficiency in designing analytical and operational data models.
Nice to have
Comfort with data warehouse methods and techniques.
Active contribution of thoughts and views on data practices.
AWS, Azure, or GCP certification in data services.
Expertise in continuous improvement and sharing input on data best practices.
Participation in development or technology communities.
Culture & Benefits
People-first culture focused on creativity, collaboration, and professional growth.
Values include determination, honesty, respect, creativity, and cooperation.
Commitment to diversity, equity, inclusion, and equal opportunity.
Candidate accommodations and recruitment-process adjustments are available on request.
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