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Ilmuone Data
www.ilmuonedata.com

Data Engineer Intern

Looking for

We are an independent data analytic consultancy.
We provide C-suite executives and start-up Founders with industry-leading digital marketing and data analytics solutions
- Technical solutions: Best-in-class audit, implementation and maintenance support of analytics software and databases
- Advisory solutions: Industry-leading best-practices, company-specific optimizations and custom business insights to drive actionable performance.

  • Final year student or recent graduate in Informatics, Computer Science, Engineering, Statistics, Applied Mathematics, or other related quantitative fields.

  • Familiar with SQL and basic concepts of relational databases.

  • Interest in big data and data architecture; exposure to tools like Hadoop, Spark, or Kafka is a plus.

  • Exposure to Google Analytics, Adobe Analytics, or GCP (e.g. BigQuery, Cloud Storage) is an advantage.

  • Basic understanding of data privacy and PII handling is a plus.

  • Enthusiastic about exploring and working with unstructured and disconnected datasets.

  • Willingness to learn data pipeline and workflow tools like Airflow, Luigi, or Composer.

  • Strong analytical thinking and eagerness to solve real business problems with data.

  • Comfortable collaborating with cross-functional teams in a dynamic environment.
  • Support the team in building and maintaining data pipelines (ETL/ELT) to serve various business needs.
  • Assist in collecting and processing data from multiple sources such as SQL databases, APIs, and cloud platforms.
  • Help automate processes and optimize data workflows to improve efficiency and reliability.
  • Assist the team in performing data cleansing and data quality checks to ensure data accuracy and consistency.
  • Contribute to analyzing and documenting data pipelines to improve process visibility and operational efficiency.
  • Support the team in conducting root cause analysis for data discrepancies or inconsistencies.
  • Contribute to the implementation of data security and data separation across various storage platforms.
  • Collaborate with engineering, product, and leadership teams to identify and resolve data-related issues.
Only shortlisted candidates will be contacted.
Jakarta, Indonesia
10 November 2025
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