Data Engineer

Zenika Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Zenika Singapore is seeking a Data Engineer Consultant to design and implement robust data platforms for public sector and enterprise clients. You’ll work hands-on with AWS, Databricks, PySpark, Python, and SQL to deliver scalable, production-ready solutions.

You’ll mentor junior engineers, collaborate across teams, and help optimize data pipelines, streaming architectures, and governance while ensuring cost efficiency and security.

Qualifications

• 5+ years of experience in data engineering on AWS-native platforms.
• Proven ability to design and implement ETL/ELT pipelines and real-time streaming architectures.
• Hands-on Databricks, PySpark, Python, and SQL for large-scale transformations.
• Strong data warehouse knowledge (Redshift, Snowflake) and data governance principles.
• Familiarity with CI/CD, Git-based workflows, and DevOps practices.
• Experience with serverless compute (AWS Lambda) and automation scripting.
• Knowledge of data security, performance optimization, and cost control in cloud.
• Excellent written and verbal communication; ability to translate tech to business.

Responsibilities

• Design and build enterprise-scale data architectures including data lakes and warehouses.
• Develop and maintain high-performance ETL/ELT pipelines processing large data volumes.
• Implement and optimize Databricks transformations using PySpark, Python, and SQL.
• Mentor junior engineers, review code, and promote best practices in data engineering and DevOps.
• Integrate automated data flows using APIs and AWS services (Glue, Redshift, S3, EMR, Lambda).
• Monitor performance, troubleshoot bottlenecks, and ensure reliability and security.

Skills

AWS

Databricks

PySpark

Python

SQL

Data pipelines

Data security

DevOps concepts

CI/CD

Communication

Education

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

Master’s degree preferred

Tools

GitHub

GitLab

Redshift

S3

Glue

EMR

Kafka

Kinesis

Snowflake

Azure Functions

Job description

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 operation

What You Bring

• 5+ 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 (preferr
• 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
• Connect and grow with fellow experts through our annual TechnoZaures, sharing skills and know