高级数据工程师
Sr. Data Engineer
这是一个远程职位。
Hi,
我们正在为一家位于波兰的知名IT客户招聘高级数据工程师。如感兴趣，请发送更新的简历以进一步讨论该职位。远程工作。
邮箱：
职位：高级数据工程师
地点：波兰，远程
是否为正式/合同：两者都接受
薪资预算：最佳合理市场水平
是否为现场/远程/混合：远程
职位数量：2
职位概述
向技术主管汇报，该职位在支持数据采集团队以及业务和技术产品负责人方面起着关键作用。成功的候选人将有助于在多个服务线、产品、职能和交付团队中扩展和采用数据产品。
该职位职责广泛，包括近实时数据处理解决方案的技术设计和开发、构建和维护数据采集管道、实现消费者交互，并支持业务文档和报告。
主要职责
- 与利益相关者合作，识别并构思数据资产和服务持续改进的机会。
- 参与设计和开发会议，以增强数据资产的创建和采集管道，重点关注稳定性、性能优化和可追溯性。
- 设计、开发、测试并维护数据采集管道和支持流程。
- 编写稳健、容错和模块化的代码，确保数据管道和服务具有鲁棒性、可扩展性和高可用性。
- 研究、评估并实施新工具、方法和流程，以实现高质量的企业级数据产品和服务。
- 积极跨团队协作，确保数据采集、消费和激活阶段的无缝过渡。
- 贡献于文档编写、报告和知识共享，以支持平台的长期可持续性。
所需技能与经验
- 在设计和开发数据采集和处理解决方案方面有丰富经验，包括近实时数据管道。
- 具备编写干净、模块化且易于维护的代码的能力，注重可靠性和性能。
- 有使用分布式系统、数据管道和现代数据平台的经验。
- 具备良好的协作能力，能够有效与技术和非技术团队合作。
- 分析思维，对持续改进充满热情。
查看英文原文
This is a remote position.
Hi,
We are looking forSr.DataEngineer for one of our renowned ITclientbased in Poland. If interested, please share your updated CV to discuss further on the role. Remote working.
Email:
Roles:Sr. Data Engineer
Location:Poland, Remote
Is it Permanent/ Contract:open for both
Salary Budget:best reasonable market rate
Is it Onsite/Remote/Hybrid: Remote
No. of Positions: 2
Role Overview
Reporting to a Technical Lead, this role plays a critical part in supporting the Data Ingestion team and both Business and Technical Product Owners. The successful candidate will contribute to the expansion and adoption of data products across multiple service lines, products, functions, and delivery teams.
The role spans a wide range of responsibilities, including the technical design and development of near real-time data processing solutions,buildingandmaintainingdata ingestion pipelines, enabling consumer interactions, and supporting business documentation and reporting.
Key Responsibilities
- Collaborate with stakeholders toidentifyandideateopportunities for continuous improvement of data assets and the services provided to data consumers.
- Participate in design and development sessions to enhance data asset creation and ingestion pipelines, with a strong focus on stability, performance optimization, and traceability.
- Design, develop, test, andmaintaindata ingestion pipelines and supporting processes.
- Build resilient, fault-tolerant, and modular code to ensure data pipelines and services are robust, scalable, andhighly available.
- Research, evaluate, and implement new tools, methods, and processes to enable the creation of high-quality, enterprise-grade data products and services.
- Actively collaborate across teams to ensure seamless transitions between data ingestion, consumption, and activation stages.
- Contribute to documentation, reporting, and knowledge sharing to support long-term platform sustainability.
Required Skills & Experience
- Strong experience in designing and developing data ingestion and processing solutions, including near real-time data pipelines.
- Proven ability to write clean, modular, and maintainable code with a focus on reliability and performance.
- Experience working with distributed systems, data pipelines, and modern data platforms.
- Strong collaboration skills with the ability to work effectively across technical and non-technical teams.
- Analytical mindset with a passion for continuous improvement and problem-solving.
- Comfortable working in agile or product-oriented delivery environments.
Originally posted on Himalayas