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Open nowPosted yesterday

Data Engineer, Cloud (Banking, 1-year renewable contract)

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 10,000 a month
Where
Singapore
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Your applicationOpen nowData Engineer, Cloud (Banking, 1-year renewable contract)MyCareersFuture · Singapore

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted yesterday

The posting

Dear Applicant,

If you or someone you know is interested, please send the CV directly to [email protected] (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

Key Responsibilities

  • Develop and modernize data and analytics solutions supporting business reporting and analytical requirements.
  • Build and maintain reliable data pipelines and transformation workflows using SQL, Python and modern data engineering tools.
  • Design and implement dimensional data models, including Star schemas, Fact tables, Dimension tables and Data marts.
  • Develop and maintain data transformations using dbt or equivalent data transformation frameworks.
  • Build and manage workflow orchestration using Airflow or equivalent orchestration tools.
  • Develop reusable business logic, semantic layers and common business metrics to support consistent analytics across the organisation.
  • Implement and maintain ETL/ELT processes and data warehouse solutions.
  • Apply software engineering best practices, including Git/version control, code reviews, unit/data testing and CI/CD.
  • Monitor, troubleshoot and resolve data quality, pipeline and transformation issues independently.
  • Collaborate with data engineers, analysts, developers and business stakeholders to understand requirements and deliver effective data solutions.
  • Work with existing business logic and processes to support their migration or redesign using appropriate cloud-native technologies.
  • Support the development of analytical datasets consumed by BI, reporting and business users.

Key Requirements

  • 3–6 years of relevant experience in Data Engineering, Analytics Engineering, Data Warehousing or related fields.
  • Strong hands-on experience with SQL.
  • Good working knowledge of Python for data processing and automation.
  • Strong understanding and practical experience with dimensional data modelling, including:

o Star schemas

o Fact and Dimension tables

o Data marts

  • Hands-on experience with dbt or an equivalent data transformation framework.
  • Experience with at least one workflow orchestration tool, such as Apache Airflow or equivalent.
  • Good understanding of semantic layers, business metrics and reusable business logic.
  • Strong understanding of ETL/ELT and data warehouse concepts.
  • Knowledge of modern software development practices, including:

o Git/version control

o Code reviews

o Unit and data testing

o CI/CD

  • Ability to troubleshoot data and pipeline issues independently.
  • Good communication and collaboration skills.
  • Experience with Google Cloud Platform (GCP) is preferred.
  • Exposure to BigQuery, Cloud Composer, Cloud Storage and other GCP data services is an advantage.
  • Ability to understand existing .NET business logic and support the conversion or redesign of processes using suitable cloud-native technologies is preferred.
  • Familiarity with BI and reporting tools and an understanding of how analytical datasets are consumed by business users is an advantage.
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