Senior Data Engineer

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners DBS Bank, Cold Storage, Gojek, Mandai Wildlife Group and Singtel. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.

As a Senior Data Engineer, you will:

• Contribute to the design and implementation of a scalable and reliable data platform based on the data mesh principles with modern data stack.
• Develop and maintain efficient data pipelines to ingest, transform, and store data from various sources.
• Collaborate with engineers across domains to understand their data needs and develop self-service data platform features, improve developer experience, build data access tools and APIs.
• Contribute to the development and improvement of internal Data Products/Data Marts, Data Modeling and Data Product's Usability
• Partner with the data science and analytics teams and other upstream internal and external customers of the data platform to ensure their data needs are met.
• Improve data quality, observability, lineage, governance and lifecycle management across the platform.
• Contribute to engineering best practices including CI/CD, testing, monitoring, documentation and code reviews.
• Contribute to evaluating and introducing new technologies that improve developer productivity and platform scalability.
• Follow and contribute to the continuous improvement of data standards and best practices, and the full life cycle of Data Platform

What you should have:

• Bachelor's degree in Computer Science, Data Science, or related field
• 5+ years of experience as a Data Engineer with Data Modelling experience, additional experience as backend software engineer is preferred
• Proficiency in programming languages like SQL, Python and Java or Scala
• Experience with Big Data processing frameworks and data warehouses
• Experience with dimensional modeling, Data Warehouse concepts, SCDs and tradeoffs, modern data warehouse, and data lake, lake house, data mesh.
• Experience with modern data stack (eg. Snowflake, dbt-core, Airflow, etc) or similar technologies is a plus.
• Experience in building, productionising and maintaining data lifecycle management and relevant tools.
• Understanding of data mesh principles and concepts is beneficial.
• Experience working in a fast-paced environment with evolving priorities and requirements is an advantage.