Senior Data Engineer

Tek Systems; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading company is seeking an experienced data engineer to design, build, and maintain robust data pipelines. The role requires a hands-on technical approach, ensuring best practices in data governance and quality. Ideal candidates will have substantial experience with data engineering technologies and a strong ability to adapt to new challenges.

Qualifications

• 5+ years of experience in data engineering.
• Proven experience in designing and building data pipeline in Azure Synapse or Databricks.
• Hands-on experience with ETL/ELT tools and modern data warehousing solutions.

Responsibilities

• Design and develop scalable data pipelines to ingest, process, and store structured and unstructured data.
• Optimize ETL/ELT processes for real-time and batch data processing.
• Work closely across functions teams to understand data needs and develop effective solutions.

Skills

SQL

Python

Scala

Data processing

Analytical skills

Problem-solving

Education

Bachelor’s Degree in relevant discipline

Tools

Azure Synapse

Databricks

Apache Spark

Hadoop

Snowflake

Job description

• Optimize ETL/ELT processes for real-time and batch data processing
• Ensure data quality, consistency, and lineage across enterprise systems
• Work closely across functions teams to understand data needs and develop effective solutions

Job Summary

We are seeking an experienced data engineer where the candidate will focus on designing, building, and maintaining robust data pipelines, ensuring best practices are followed across engineering and governance

The ideal candidate is technically hands-on, understands the full data lifecycle, able to drive work independently and is driven by quality, scalability, and collaboration, with a strong openness and willingness to learn, adapt, and pick up new technologies as needed.

Responsibilities

·Design and develop scalable data pipelines to ingest, process, and store structured and unstructured data from internal and external sources.

·Optimize ETL/ELT processes for real-time and batch data processing.

·Ensure data quality, consistency, and lineage across enterprise systems.

·Work closely across functions teams to understand data needs and develop effective solutions.

·Enforce data governance policies to ensure compliance with industry regulations and internal standards.

· Provide guidance on best practices for data management and analytics to cross-functional teams.

Requirements

·Bachelor’s Degree in relevant discipline.

·5+ years of experience in data engineering

·Proven experience in designing and building data pipeline in Azure Synapse or Databricks

·Strong expertise in SQL, Python, or Scala for data processing and transformation.

·Proven experience in big data processing and working with technologies such as Apache Spark, Hadoop, Snowflake, Databricks, or AWS/GCP/Azure data platforms.

·Hands-on experience with ETL/ELT tools and modern data warehousing solutions.

·Experience in implementing data governance and security measures, with a strong understanding of how governance applies across the entire data pipeline to ensure quality, security and compliance.

·Experience with data modeling and data analytics is advantageous.

·Excellent communication and stakeholder management skills.

·Strong analytical and problem-solving skills with attention to detail.

·Detail-oriented and able to balance multiple tasks in a fast-paced environment.

·Ability to work independently and as part of a cross-functional team.

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No.: R21109465, Marshall Tan

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544