远程工作雷达

数据工程师

Data Engineer

开发工程限定地区(需当地身份)
公司Moniepoint
薪资未公开
工作地点Remote, Poland
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间8 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote, Poland 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。

Moniepoint Inc. 是非洲的一站式金融平台,每月帮助 2000 万企业和个人使用无缝支付、银行、信贷、跨境和业务管理工具。

作为尼日利亚最大的商户收单机构,我们支持该国大部分的销售点(POS)交易。通过我们的子公司,Moniepoint Inc. 每年处理超过 2500 亿美元的数字支付交易价值。

职位描述

你将负责的工作

  • 构建和维护处理大量数据的稳健数据管道
  • 更新和优化我们的数据平台以提高速度、可扩展性和成本效益
  • 与不同职能团队协作,了解并满足他们的数据需求
  • 开发用于监控和分析模型性能和数据准确性的流程和工具
  • 解决一般的数据相关问题

要在这个职位上取得成功,你需要具备

  • 作为数据工程师的丰富经验(5 年以上,成就可弥补经验不足)
  • 强大的解决问题能力
  • 高级 SQL 技能
  • Python 技能熟练
  • 使用云平台的经验(如 Google Cloud、AWS、Azure)
  • 使用版本控制工具(如 git)的经验
  • 优秀的书面和口头沟通能力
  • 学习和掌握新技术和方法的动力
  • 计算机科学、统计学、数学、工程或相关领域的学士学位

以下经验会是加分项

  • 数据治理
  • 构建和部署机器学习模型
  • Terraform 或其他基础设施即代码工具

我们可以为你提供

  • 文化 - 我们以人为本,优先考虑每位团队成员的福祉。我们建立了一个所有意见都有分量、所有声音都被听到的公司。我们尊重彼此,并始终互相照应。最重要的是,我们是人。
  • 学习 - 我们有一个注重学习和发展的环境,强调知识共享、培训和定期的内部技术讲座。
  • 薪酬 - 你会获得有竞争力的薪资、养老金、健康保险、年度奖金和其他福利。

招聘流程中你将经历

  • 一个家庭作业评估
  • 与招聘人员的初步电话面试
  • 与我们工程团队负责人进行的技术面试
  • 与高管团队成员进行的行为和技能面试

Moniepoint 是一家平等机会雇主。我们重视多样性,并致力于创造一个包容的工作环境。

查看英文原文

Who we are

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.

As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

About the role

What you will get to do

  • Build and maintain robust data pipelines processing large volumes of data
  • Update and optimise our data platform for speed, scalability and cost
  • Coordinate with different functional teams to understand and meet their data needs
  • Develop processes and tools to monitor and analyse model performance and data accuracy
  • Solve general data-related problems

To succeed in this role, you should have

  • Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments)
  • Strong problem-solving skills
  • Advanced proficiency with SQL
  • Proficiency with Python
  • Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
  • Experience using version control tools such as git
  • Excellent written and verbal communication skills
  • A drive to learn and master new technologies and techniques
  • A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

  • Data governance
  • Building and deploying machine learning models
  • Terraform or other infrastructure as code tools

What we can offer you

  • Culture -We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
  • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
  • Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

  • A take-home assessment
  • A preliminary phone call with the recruiter
  • A technical interview with a Lead in our Engineering Team
  • A behavioural and technical interview with a member of the Executive team.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

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