Data Engineer

ZENIKA PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Learning & Development budget

Flexible benefits package

Comprehensive international medical 보험

Job summary

Zenika in Singapore is seeking a Data Engineer Consultant to design and implement scalable data platforms for clients, with hands-on work on AWS, Databricks, PySpark, Python, and SQL. You will lead the development of enterprise-scale data architectures and real-time pipelines while mentoring junior engineers and collaborating with cross-functional teams.

You will optimize data transformations, ensure security and cost-efficiency, and integrate data flows across services like Glue, Redshift, S3,

Qualifications

• 4+ years of data engineering experience, preferably on AWS-native platforms.
• Experience building ETL/ELT pipelines and real-time streaming architectures.
• Hands-on Databricks, PySpark, Python, and SQL for large-scale transformations.
• Knowledge of data warehouse design (Redshift/Snowflake) and governance.
• Experience with DevOps, CI/CD, and version control (GitLab/GitHub).
• Bachelor’s degree in CS/Data Engineering; Master’s preferred; relevant certifications a plus.

Responsibilities

• Design enterprise-scale data architectures including data lakes, warehouses, and real-time pipelines.
• Develop and maintain high-performance ETL/ELT pipelines processing large volumes of data.
• Implement and optimize data transformations in Databricks using PySpark, Python, and SQL.
• Collaborate and mentor junior engineers; review code and promote best practices.
• Integrate and automate data flows using AWS services and real-time tools like Kafka or Kinesis.
• Monitor, troubleshoot, and ensure reliability, security, and cost-efficiency of data ops.

Skills

AWS

Databricks

PySpark

Python

SQL

Data warehousing

CI/CD

Git

Lambda

Data security

Education

Bachelor’s degree in Computer Science / Data Engineering

Master’s degree preferred

Tools

Snowflake

Redshift

GitHub

GitLab

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

• 4+ 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

• 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