出海雷达

Senior Data Engineer

开发工程限定地区(需当地身份)
公司Dreamix Ltd.
薪资未公开
工作地点Romania
地域资格限定地区(需当地身份)
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Romania 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。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

梦是20年前由热情的 IT 学生创立,他们希望创造一个最有梦想的工作场所,每个人都能被听到,在透明管理下工作,并充分发挥自己的潜力。现在,多年后,我们为德国,英国,瑞士和谷的知名公司提供软件解决方案。梦通过 Java 和 Web 技术向世界各地顶级企业提供高质量的软件服务和产品。我们相信雇主与员工关系必须以合作方式而不是交易形式进行。我们致力于尽可能地投资我们的员工,我们也期望你做同样的事情。文化是使我们变得不同,因为我们坚信追求掌握技能,团队合作,知识共享,主动性,健康生活方式和个人发展。在 Dreamix,我们积极寻找一位有才华的 Databricks 认证高级数据工程师加入我们的团队。我们正在寻找一个具有强大的数据工程技巧的人。如果你热衷于创建无的数据解决方案,在协作环境中繁荣,并渴望为我们的数据驱动倡议成功做出贡献,我们邀请你申请:责任:· 设计和拥有可扩展的生产级数据管道,在奖牌架构 (吞,转换,服务)上。· 定义并执行与业务领域一致的定律数据模型。· 建筑 pipelines 为可扩展性,可靠性和成本效率,重点放在性能调整 (延迟,分区,计算,SLA). · 使用 Databricks (Spark,Delta Lake,Delta Live Tables, Autoloader,Unity Catalog) 建立和优化数据工作流程。· 在所有层次的管道中建立强大的数据质量,验证和测试框架。·通过适当处理检索尝试,无机期和失败场景确保可靠性。·与数据科学家,分析师和业务利益相关者合作,将要求转化为高质量的数据产品。·开发并维护数据集成和 API 以实现无的数据访问和互操作性。·在整个平台上实施数据治理,安全和合规最佳实践。·通过制定最佳实践,提供技术指导和促进强大的工程文化来辅助和支持工程师。·根据不断发展的需求和工作流程解决问题,优化和持续改善数据基础设施和工作流动。

查看英文原文

Dreаmix was founded 20 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.
We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.
At Dreamix, we are actively seeking a talented Databricks-certified Senior Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply.

Responsibilities:

  • Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving).
  • Define and enforce canonical data models aligned to business domains.
  • Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs).
  • Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog).
  • Establish robust data quality, validation, and testing frameworks across all pipeline layers.
  • Ensure reliability through proper handling of retries, idempotency, and failure scenarios.
  • Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products.
  • Develop and maintain data integrations and APIs to enable seamless data access and interoperability.
  • Implement data governance, security, and compliance best practices across the platform.
  • Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture.
  • Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies.

Requirements:

  • A minimum of 5 years of relevant experience in data engineering.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Databricks certification is a must as well as extensive hands-on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and modern big data ecosystems (e.g., Kafka).
  • Advanced proficiency in Python and SQL, with extensive experience building scalable ETL/ELT pipelines.
  • Experience designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas.
  • Deep understanding of data warehousing and modern Lakehouse/medallion architecture patterns.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
  • Experience building data products for consumption via APIs or analytics tools.
  • Strong understanding of data governance, access control, and regulated data environments.
  • Proven ability to define engineering standards, mentor engineers, and collaborate effectively in fast-paced environments.

What you will get:

  • A warm and supportive work environment where you can reach your full potential.
  • Flexible working hours that allow you to balance your work and personal life.
  • Unlimited home office to help you stay productive and focused.
  • Opportunities for professional development, including certifications and training.
  • Additional benefits for academic teaching and speaking engagements.
  • Knowledge-sharing sessions where you can learn from our Dreamix team.
  • Team and company-wide events that bring us together.
  • Amazing week long summer office and winter office initiatives.
  • Additional health insurance to ensure your well-being.

If you find the mentioned above interesting, send us your CV!
Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!
By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

← 返回全部职位