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Urgent! Data Engineer Job | Modulr

Data Engineer



Job description

Summary

The Data Engineer is a vital role within Modulr and this role will support the continuous improvement and innovation of our data platform, ensuring processes are robust, efficient and scalable.


Specific duties

  • Extract and integrate data from various sources, including APIs, internal databases, and third-party platforms.
  • Design and build efficient analytical data models using dimensional modelling methodologies and best practices.
  • Build and maintain semantic models to enable self service access to data for internal users.
  • Write clean, maintainable, and well-documented code following best practices.
  • Write and execute tests and data quality checks.
  • Collaborate with cross-functional teams to understand data requirements and develop scalable and effective solutions.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.


About You

A successful Data Engineer will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty.

Excellent stakeholder management experience is essential to being successful in this role.

  • 4+ years of experience in a Data Engineering role
  • Extensive experience with Python and SQL
  • Excellent knowledge of data architecture, data modelling and ETL methodologies.
  • Experience using ETL and data orchestration tools
  • Experience integrating with BI tools and building semantic models
  • Proven experience in supporting and working with cross-functional teams in a dynamic environment.
  • Comfortable working in fast-paced, agile environments with a focus on getting things done efficiently.

    Understanding of agile methodologies and practices.

Nice to Have

  • Experience using Snowflake
  • Experience using DBT (or similar)
  • Experience using semantic layer tools (Cube.dev, AtScale or similar)
  • Experience using PowerBI, Streamlit
  • Experience using Data Quality tools (Soda, Great Expectations or similar)
  • Building and using CI/CD pipelines
  • Understanding of AI/ML and GenAI frameworks
  • Experience with AWS (if not, then other cloud platforms)


Required Skill Profession

Computer Occupations



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