Global Data and Cloud Consultancy – Data Engineer

  • Tags:
  • Consulting
  • Data & Analytics
  • Information Technology (IT)
  • Manager
  • Senior Manager
  • Director
  • Consulting Industry
  • Management Consulting
  • Professional Services
  • 10-20M
  • 20-30M
  • Media and Telecommunications (TMT)
  • Technology

About Us

We are an international consultancy specialising in large-scale data platforms. Our engineers design, build and operate systems that handle high volumes of data for major organisations, and we work extensively with the open source tooling that underpins the modern data stack. Our team is distributed internationally and works in English. Engineering is genuinely at the centre of what we do, our consultants spend their time on demanding data and AI problems rather than on slideware.

The Role

Our engineering team continues to grow, and we are adding Data Engineers in Japan. You will sit within a cross-functional squad, designing and tuning the pipelines that move and shape data for our clients. The working model is flexible: home, a co-working space, or the office. Structured training is provided to help you build depth in the cloud data platform we use.

Responsibilities

Much of your week will be spent alongside other engineers, analysts and client stakeholders, translating requirements into workable technical approaches. You will communicate in English within the team and in Japanese with customers, which means explaining technical trade-offs clearly to two different audiences. Preparing data so that it is fit for both operational use and analytical consumption is a recurring part of the job. You will also take ownership of complex problems, sometimes independently and sometimes within an agile team.

On the build side, you will design and implement data processing systems in Python or Java and keep improving them as volumes and requirements change. You will develop scalable pipelines that ingest from a wide variety of upstream sources and maintain them over time rather than handing them off. Performance tuning is a steady thread through this work, and you will help raise the overall engineering standard of the platforms you touch.

What You’ll Bring

• Around five years or more in Python or a comparable language

• Comparable depth in data engineering and ETL work

• Hands-on experience with at least one major cloud platform (AWS, Azure or GCP)

• Strong CS fundamentals and exposure to distributed systems

• Familiarity with big data frameworks such as Spark, Flink or Hive (advantageous)

• Containerisation experience with Docker, Kubernetes or similar (advantageous)

• Excellent Japanese is essential. Strong English is highly desirable.

What We Offer

• A competitive salary set according to your skills, experience and the market

• Annual leave above the Japanese statutory minimum, on a local employment contract

• Flexible working: home, co-working spaces or the office

• Opportunities to join international projects

• Regular feedback and annual performance reviews

• Access to online learning platforms and funded certifications

• A collaborative, mixed-background team

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