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Senior Data Engineer

Mediacorp Pte Ltd
Employment Type:  Full Time
Timing/Shift:  5 Day Week
Qualification:  Bachelor's Degree

CC23 One North

Senior Manager

10 Years experience

Hybrid arrangement

Employment Type: Full Time

Timing/Shift: 5 Day Week

Qualification: Bachelor's Degree

Experience: 10 Years

Job Description

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

 

Job Description

PURPOSE OF THIS ROLE

The purpose of the Senior Data Engineer role is to provide strategic leadership in data engineering, overseeing the development and maintenance of data infrastructure, and ensuring the availability, reliability, and performance of data solutions. This position plays a critical role in supporting data-driven decision-making across the organization.

 

Key responsibilities include:

  • Providing strategic direction and technical leadership in data engineering.
  • Leading the design, development, and deployment of ETL processes and data pipelines.
  • Integrating data from various sources and transforming it for analytics.
  • Maintaining data quality and implementing data governance best practices.
  • Managing and mentoring a team of data engineers for professional growth.
  • Collaborating with stakeholders to understand and fulfil data requirements.
  • Documenting data processes, architectures, and best practices.

Challenges in this role may include:

  • Ensuring data security and compliance in a rapidly evolving regulatory environment.
  • Optimizing data infrastructure for performance and scalability.
  • Resolving data-related issues efficiently.
  • Managing a dynamic team in a fast-paced data environment.

 

FOUNDATIONAL/LEADERSHIP COMPETENCIES

  • Strong leadership and team management skills.
  • Excellent problem-solving and communication skills.

 

FUNCTIONAL COMPETENCIES

  • Proficiency in programming languages such as Java, or Scala, SQL, Python.
  • Extensive experience with ETL tools, data integration, and data transformation.
  • In-depth knowledge of data storage technologies (relational databases, NoSQL, distributed file systems).
  • Expertise in data modelling, database design and data warehousing.
  • Familiarity with data governance, security, and compliance standards.
  • Experience with big data technologies (e.g., Hadoop, Spark, Hive, Azure, Databricks) is a plus.
  • Experience in container orchestration framework like Kubernetes is a plus.
  • Experience in Infrastructure as Code and DevOps, MLOps and DataOps is a plus.
Job Requirements

EXPERIENCE

10+ years of proven experience in data engineering, with a focus on building and maintaining data pipelines and data warehouses.

 

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Relevant certifications in data engineering and Cloud computing are advantageous.