Data Engineer

Zenika Pte. Ltd.; Singapore; Hybrid; SGD 70,000 - 100,000; Full time

Job summary

A leading data consultancy in Singapore is seeking a Data Engineer Consultant to design and implement data platforms. You will work hands-on with AWS and Databricks, developing scalable data solutions. The ideal candidate has 5–7 years of experience in data engineering, strong technical skills, and excellent communication abilities. This role offers a hybrid work arrangement with comprehensive benefits and learning opportunities.

Benefits

20 days of annual leave + 5 LEAP days

Hybrid work arrangement

Dedicated Learning & Development budget

Flexible benefits package

Comprehensive international medical insurance

Qualifications

• 5–7 years of experience in data engineering, ideally on AWS-native platforms.
• Proven experience building ETL/ELT pipelines and managing real-time streaming architectures.
• Hands-on expertise in Databricks, PySpark, Python, and SQL for large-scale data transformation.
• Strong understanding of data governance principles.
• Familiarity with CI/CD workflows and version control (GitLab, GitHub).
• Solid grasp of data security, performance optimisation, and cost management.

Responsibilities

• Design and build enterprise-scale data architectures.
• Develop and maintain high-performance ETL/ELT pipelines.
• Implement and optimise data transformations in Databricks.
• Collaborate and mentor junior engineers.
• Integrate and automate data flows using APIs and AWS services.
• Monitor and troubleshoot performance bottlenecks.

Skills

Data Engineering

AWS

Databricks

PySpark

Python

SQL

Data Warehouse Design

DevOps

ETL/ELT

Data Security

Education

Bachelor’s degree in Computer Science, Data Engineering, or a related field

Master’s degree (preferred)

AWS Certified Data Engineer – Associate

Databricks Certified Data Engineer

Tools

AWS Glue

Amazon Redshift

AWS S3

AWS Lambda

Kafka

Kinesis

Job description

Is there a Zenika in you?

Let’s talk skills and passion first.

You’re a data enthusiast who thrives on transforming complexity into clarity. With deep technical expertise in AWS and Databricks, you design robust, scalable, and high-performance data pipelines that power intelligent decisions. Curious by nature, you’re constantly exploring new tools, automation techniques, and architectures to deliver meaningful data solutions that scale.

Your Role as a Zenika Consultant:

As a Data Engineer Consultant, you’ll play a key role in designing and implementing data platforms for our clients — particularly in public sector and enterprise environments. You’ll work hands-on with technologies like AWS, Databricks, and PySpark, and collaborate with cross-functional teams to deliver scalable, production-ready data solutions.

You’ll work on projects that will allow you to:

• Design and build enterprise-scale data architectures — including data lakes, warehouses, and real-time streaming pipelines.
• Develop and maintain high-performance ETL/ELT pipelines that process large volumes of structured and unstructured data.
• Implement and optimise data transformations in Databricks using PySpark, Python, and SQL, ensuring quality, scalability, and cost-efficiency.
• Collaborate and mentor — guide junior engineers, review code, and drive adoption of best practices in data engineering and DevOps.
• Integrate and automate data flows using APIs, AWS services (Glue, Redshift, S3, EMR, Lambda), and real-time tools like Kafka or Kinesis.
• Monitor and troubleshoot performance bottlenecks, ensuring reliability, consistency, and security across all data operations.

What You Bring

• 5–7 years of experience in data engineering, ideally on AWS-native platforms.
• Proven experience building ETL/ELT pipelines, migrating data solutions, and managing real-time streaming architectures.
• Hands-on expertise in Databricks, PySpark, Python, and SQL for large-scale data transformation.
• Strong understanding of data warehouse design (Redshift, Snowflake) and data governance principles.
• Familiarity with DevOps concepts, including CI/CD workflows and version control (GitLab, GitHub).
• Experience with serverless compute (AWS Lambda, Azure Functions) and automation scripting.
• Solid grasp of data security, performance optimisation, and cost management in cloud environments.
• Excellent communication and collaboration skills — you translate complex technical details into clear business language.
• Bonus: Experience with public sector or HR analytics projects, as well as mentoring and leading data teams.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).
• Certifications such as:AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect, Databricks Certified Data Engineer (Associate/Professional), Snowflake or Redshift certifications (a plus), Agile/Scrum Master certification (preferred)

About Zenika

Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship. We are passionate technophiles advising clients with deep expertise in open-source tech and modern solutions.

Why Join Zenika?

• Work with a global client base across 11 locations, benefiting from over 28,000 Zenika-led training sessions
• Partner with tech giants like Google Cloud and Scrum.org, and engage in research, open-source contributions, and conferences outside client projects
• Participate in Zenika tech conferences (TechnoZaures) to learn, share, and grow together
• Hybrid work arrangement
• 20 days of annual leave + up to 5 LEAP(Learning, Education, Advancement, Progress) days
• Dedicated Learning & Development (L&D) budget to support your growth
• Flexible benefits package to cater to your well-being and lifestyle needs
• Comprehensive international medical insurance package

Ready to code your story with us? Apply NOW!