Data Engineer

Zenika Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Zenika Singapore is seeking an experienced Data Engineer Consultant to design and implement scalable data platforms for public sector and enterprise clients. You’ll work hands-on with AWS, Databricks, and PySpark, collaborating with cross-functional teams to deliver production-ready data solutions.

Responsibilities include building enterprise data architectures, real-time streaming pipelines, and cost-efficient data transformations while ensuring security and governance.

Qualifications

• 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) 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, mentorship 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

Responsibilities

• 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

Skills

AWS

Databricks

PySpark

Python

SQL

ETL/ELT

CI/CD

Git

Communication

Education

Bachelor's degree in Computer Science or related field

Master’s degree preferred

Certifications: AWS Certified Data Engineer / Solutions Architect

Tools

Databricks

Redshift

Snowflake

Kafka / Kinesis

Glue / S3 / EMR / Lambda

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 solution

You’ll work on projects that will allow you:

• 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

• 5–7 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 (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