出海雷达

Data Engineer (Contractor)

开发工程限定地区(需当地身份)
公司myPOS
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Contractor
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 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。

在 myPOS,我们全力帮助企业成长和获得报酬。我们让支付简单,智能,可供所有人使用,但我们不仅仅是支付解决方案 - myPOS 是一个增长的合作伙伴。从免费的多货币账户到强大的电子商务工具,我们在这里支持各种规模的企业主以及那些梦想着创办自己的企业的人。随着我们的团队扩大,我们正在寻找数据工程师来帮助我们在金融科技行业中真正改变事实。准备加入我们并塑造支付未来吗?让它实现吧!关于角色:作为数据工程师,你将设计,构建和运营可扩展的,可靠的数据管道和数据基础设施。你的工作将确保高质量的数据是可访问的,可信赖的,并且为分析和数据科学做好准备 - - 推动整个公司的业务见解和决策。你所做的:· 建立和维护用于多个来源和目的地的摄入,转型和出口的数据管线 · 开发和发展可扩展性的数据架构以满足业务和性能要求 · 与分析家和数据科学家合作提供精确的,准备的数据集并实现自动服务分析 · 实施数据质量,测试,监控,流程和可靠性最佳实践 ·优化工作流程以实现性能,成本和扩展性 (例如调整 Spark 的工作,查询优化,分区策略)·确保安全处理和遵守相关数据保护标准和内部政策 ·促进文档,标准以及数据平台和工程过程的持续改进 ·确保安全,符合数据和模型的处理,包括访问控制,审计能力和治理实践 ·建立和维护 MLOps 自动化:CI/CD 用于 ML,环境管理,对象处理,数据/模型/代码编辑 你具有:·计算机科学,工程或相关技术领域的学士学位 (或相等实践经验)· 3年以上数据工程师工作经验,在生产级管道和数据集中构建和维护 · Python 和 SQL 技能,对 ETL/ELT 进程的数据结构,性能和优化策略有着坚实的理解 ·与编排 (如 Airflow,Dagster,Databricks Workflows)和分布式处理在云环境中的实践经历 ·熟悉

查看英文原文

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.
As we are expanding our team, we’re looking for Data Engineerto help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!
About the role:
As a Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company.
What you’ll do:

  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Develop and evolve scalable data architecture to meet business and performance requirements
  • Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
  • Implement best practices for data quality, testing, monitoring, lineage, and reliability
  • Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
  • Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
  • Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

This role is perfect for you if you have:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • 3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
  • Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes
  • Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
  • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Nice to have:

  • Strong GCP experience and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage
  • Experience building reliable incremental data ingestion pipelines from DBs and APIs.
  • Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
  • Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
  • Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards
  • Experience building observability for data systems (metrics, alerting, data quality checks, incident response)
  • Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies

Why you should join myPOS:

  • Vibrant international team operating in hi-tech environment
  • Excellent compensation package
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Refer a friend bonus as we know that working with friends is fun
  • Teambuilding, social activities and networks on a multi-national level

Who we are:
Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.
Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.
Pro tip:
Take it easy about meeting every requirement - this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!
Apply by filling in the form below and send your CV in English!
myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.
Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!
Originally posted on Himalayas

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