出海雷达

高级数据工程师

Senior Data Engineer

开发工程限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Kainos
薪资未公开
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型Full Time
发布时间11 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。

加入Kainos,塑造未来
在Kainos,我们是问题解决者、创新者和合作者——由共同的使命驱动,创造真正的影响力。无论我们是为数百万用户转型数字服务,交付前沿的Workday解决方案,还是推动技术的边界,我们都一起完成。
我们相信以员工为本的文化,你的想法被重视,你的成长得到支持,你的贡献真正带来改变。在这里,你将加入一个多元、有抱负的团队,庆祝创意与协作。
准备好留下你的印记吗?加入我们,成为更大事业的一部分。
职位主要职责及业务责任:
作为Kainos的高级数据工程师(高级专员),你将负责设计和开发处理大规模数据的数据处理和数据持久化软件组件。在敏捷团队中工作,高级数据工程师提供强大的开发领导力,并对数据系统的重大技术组件负责。你将在一个多技能的敏捷团队中工作,设计和开发大规模数据处理软件,以满足在高要求生产环境中的用户需求。
你的职责包括:

  • 主要针对在大数据技术中部署的数据处理软件进行开发。该职位涵盖完整的软件生命周期,包括设计、编码、测试和缺陷修复。
  • 与架构师和高级工程师合作,确保软件满足非功能性需求。
  • 与同事合作解决实施挑战,确保代码质量和可维护性保持高水平。在代码质量方面以身作则。
  • 与运维团队合作,确保系统具备运营就绪能力。
  • 向客户和经理提供用户故事和用户旅程的估算工作量和技术影响的建议。
  • 指导和辅导团队成员。

最低(必要)要求:

  • 在Java、Scala或Python中具有扎实的软件开发经验
  • 具有在AWS、Azure、GCP、Databricks等供应商的数据处理平台上的软件开发经验
  • 具有为大规模数据处理解决方案开发重要组件并在生产环境中部署的经验
  • 熟练掌握SQL以及用于分析查询的SQL扩展
  • 对ETL/ELT数据处理流程和设计模式有扎实的理解
  • 了解分布式数据处理的关键功能和常见陷阱
查看英文原文

Join Kainos and Shape the Future
At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems . You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Your responsibilities will include:

  • Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
  • Working with Architects and Lead Engineers to ensure the software supports non-functional needs.
  • Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality.
  • Working with operations teams to ensure operational readiness
  • Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.
  • Coaching and mentoring team members.

MINIMUM (ESSENTIAL) REQUIREMENTS:

  • Strong software development experience in one of Java, Scala, or Python
  • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
  • Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment
  • Proficient in SQL and SQL extensions for analytical queries
  • Solid understanding of ETL/ELT data processing pipelines and design patterns
  • Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats
  • Able to write quality, testable code and has experience of automated testing
  • Experience with Continuous Integration and Continuous Deployment techniques
  • A Keen interest in AI Technologies

DESIRABLE REQUIREMENTS:

  • Experience of performance tuning
  • Experience of data visualisation and complex data transformations
  • Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products
  • Expertise in continuous improvement and sharing input on data best practice
  • Practical experience with AI technologies, tools, processes and delivery

Embracing our differences  
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive.   We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.   We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Originally posted on Himalayas

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