远程工作雷达

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Envitia
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
发布时间今天
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。

Envitia是一家位于英国的软件和服务公司,帮助组织释放数据的全部价值,以做出更好的、更快的决策。我们拥有30多年的经验,专注于交付创新的软件产品、解决方案和咨询服务,将复杂的数据挑战转化为可操作的洞察力。
我们的使命是赋能国防、政府和国家安全领域的客户,利用数据的力量——从地理空间情报到高级分析和AI集成。我们自豪地成为英国国防和政府组织的值得信赖的合作伙伴,提供推动更智能、数据驱动成果的技术。
我们也很高兴被《星期日泰晤士报》评为“100家中型企业”之一,这是对我们致力于创新、协作和打造卓越工作环境的肯定,让员工能够茁壮成长。
职位描述
在Envitia,我们正在寻找一位高级数据工程师,帮助为在英国一些最复杂和具有挑战性环境中运营的客户提供前沿的数据解决方案。使用Databricks、Apache Spark和云原生技术,您将开发可扩展的Lakehouse架构和生产级数据管道,使组织能够更有效地信任、共享和利用其数据。
您将有机会对高影响力的数据显示工程项目进行技术主导,与才华横溢的工程师、架构师和数据专家一起解决大规模的复杂问题。除了交付解决方案外,您还将帮助制定最佳实践,指导团队成员,并影响我们数据工程能力的未来发展方向。
如果您是一位喜欢将实际技术交付与技术领导力相结合的数据工程师,并希望参与有意义的项目并产生影响,Envitia为您提供了一个令人兴奋的职业发展机会,同时帮助客户释放数据的潜力。
职责

  • 使用Databricks、Apache Spark、PySpark和Delta Lake设计、构建和优化可扩展的数据管道。
  • 开发和实施现代的Lakehouse架构,应用Medallion(青铜、白银、黄金)设计原则,以支持可信且可重用的数据产品。
  • 构建稳健的ETL和ELT流程,用于摄取、转换和整理大型、复杂且多样的数据集。
  • 推动数据质量、监控、警报和运维支持的最佳实践,确保数据系统的可靠性和弹性。
查看英文原文

Envitia is a UK-based software and services company that helps organisations unlock the full value of their data to make better, faster decisions. With over 30 years of experience, we specialise in delivering innovative software products, solutions, and consultancy services that transform complex data challenges into actionable insights.
Our mission is to empower customers across defence, government, and national security sectors to harness the power of data — from geospatial intelligence to advanced analytics and AI integration. We are proud to be a trusted partner to UK defence and government organisations, delivering technology that drives smarter, data-driven outcomes.
We’re also delighted to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a recognition of our commitment to innovation, collaboration, and creating an outstanding workplace where people can thrive.
The Role
At Envitia, we're looking for a Senior Data Engineer to help design and deliver cutting-edge data solutions for customers operating in some of the UK's most complex and challenging environments. Using Databricks, Apache Spark and cloud-native technologies, you'll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share and exploit their data more effectively.
You'll have the opportunity to take technical ownership of high-impact data engineering projects, working alongside talented engineers, architects and data specialists to tackle complex challenges at scale. Beyond delivering solutions, you'll help shape best practice, mentor team members and influence the future direction of our data engineering capability.
If you're a data engineer who enjoys combining hands-on technical delivery with technical leadership and wants to work on meaningful programmes that make a difference, Envitia offers an exciting opportunity to grow your career while helping customers unlock the power of their data.
Responsibilities

  • Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake.
  • Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products.
  • Build robust ETL and ELT processes that ingest, transform and curate large, complex and diverse datasets.
  • Drive best practice in data quality, monitoring, alerting and operational support to ensure reliable and resilient data solutions.
  • Optimise platform performance, scalability and cost through effective management of compute, storage and orchestration services.
  • Contribute to the design and evolution of enterprise data architectures, standards and engineering patterns across customer programmes.
  • Integrate data platforms with cloud-native services, data lakes, event streams, warehouses and other enterprise systems.
  • Implement data governance, security and access controls, including Unity Catalog or equivalent technologies, to ensure data remains secure, discoverable and compliant.
  • Lead technical delivery across data engineering workstreams, ensuring solutions meet customer requirements, quality standards and delivery timelines.
  • Collaborate closely with data scientists, analysts, architects and business stakeholders to deliver end-to-end data solutions that create measurable value.
  • Support DevOps and CI/CD practices for data engineering, enabling efficient deployment, testing and operational management of data products.
  • Stay current with emerging technologies and industry best practice, contributing to the ongoing evolution of Envitia's data engineering capability.

Essential Skills & Experience

  • Proven hands-on experience building and supporting production-grade data pipelines using Databricks, PySpark, Spark SQL and Delta Lake.
  • Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models.
  • Expertise in developing scalable ETL/ELT pipelines capable of handling large and complex datasets.
  • Understanding of modern cloud data platforms, particularly Azure and/or AWS.
  • Experience implementing data governance, security and quality controls, including Unity Catalog or equivalent technologies.
  • Strong knowledge of data modelling, data lifecycle management and data engineering best practices.
  • Experience optimising data workloads for performance, scalability, reliability and cost efficiency.
  • Ability to make sound technical and architectural decisions within complex delivery environments.
  • Strong stakeholder engagement and communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • Experience leading technical delivery and supporting the successful execution of data engineering projects.

Security Clearance Requirements
Due to the nature of our work, the successful candidate must be eligible to obtain and maintain SC security clearance.
Location
This role offers flexible and remote working, with travel to our Horsham office approximately two days per month.
What it's like to work at Envitia

At Envitia, we believe that our greatest asset is our people. We’re committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including:

  • Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days
  • Private Healthcare: Comprehensive coverage with additional options for family members
  • Training & Skills Development: Ongoing learning opportunities to help you advance your career
  • Fitness Reimbursement: Support for gym memberships or fitness-related expenses
  • Life Assurance: Extensive life insurance coverage for peace of mind
  • Pension Contribution: Competitive options to help you plan for a secure financial future
  • Perkbox Subscription: Discounts on a wide range of products and services
  • Flexible Work Arrangements: Designed to support work-life balance and personal commitments
  • Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements
  • Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs

Inclusion at Envitia

At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered.
We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance.
If you require any accommodations during the application or interview process, please let us know.
Originally posted on Himalayas

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