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Ultra Tendency

Data strategy consulting with DevOps

Senior Data Engineer - Databricks

Data EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • Strong experience with Databricks and Apache Spark, including PySpark, SQL, or Scala.
  • Experience building data platforms on major cloud providers such as AWS, Azure, or GCP.
  • Solid understanding of distributed data processing, data modeling, and performance optimization.
  • Experience with CI/CD pipelines and version control tools such as Git.
  • Familiarity with orchestration frameworks such as Airflow or Databricks Workflows.
  • Strong communication skills in English and Japanese for collaboration in an international environment.
  • A collaborative mindset and interest in building reliable, scalable data systems.

Responsibilities

  • Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform, Apache Spark, and Delta Lake.
  • Develop and optimize batch and streaming data workflows supporting analytics, machine learning, and business intelligence applications.
  • Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready data solutions.
  • Improve performance and cost efficiency of data processing workloads within the Databricks environment.
  • Support the implementation of best practices for data quality, governance, and security.
  • Contribute to knowledge sharing within the team and support the development of junior engineers.

About the Company

Ultra Tendency

Data strategy consulting with DevOps

Ultra Tendency provides data strategy consulting and agile project delivery for IT services, focusing on designing data architectures, implementing projects, and providing ongoing DevOps and operational support. Its approach combines holistic data strategy with metric-based QA and agile frameworks, using ITIL4 to run customer platforms and align IT with business goals. The product works through consulting services, project implementation, and long-term support, delivering architecture, data governance, and DevOps practices to large enterprises and organizations requiring robust data solutions. Unlike competitors, Ultra Tendency emphasizes metric-driven QA, end-to-end data strategy, and ITIL4-aligned operations to ensure continuous alignment with business strategy. The company's goal is to help clients build reliable, scalable data platforms and processes that support informed decision-making and steady IT operations through sustained engagements.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Magdeburg, Germany
Founded
2010

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