Senior Data Engineer

SEARCE PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading tech consultancy in Singapore is seeking a Senior Data Engineer to architect and lead the execution of scalable data infrastructure. You'll translate business needs into robust data solutions while optimizing data pipelines for performance and accuracy. The ideal candidate will have substantial experience with cloud technologies (GCP/AWS) and a strong grasp of SQL. This role emphasizes technical ownership and collaboration across teams to ensure data quality and governance.

Benefits

Flexibility in work hours

Professional development opportunities

Qualifications

• 3+ years of hands-on experience in architecting and deploying end-to-end data pipelines.
• Proven experience delivering data warehousing and analytics projects using cloud technologies.
• Demonstrated expertise in building complex Big Data architectures.

Responsibilities

• Own the strategy and execution of transformative data solutions.
• Translate internal business requirements into fully optimized data services.
• Build and optimize data pipelines to ensure performance and timely data flow.

Skills

Business Translator

Process-First Designer

Outcome Deliverer

Reliability Guardian

Cloud Native Architect (GCP/AWS)

Code Prowess in SQL

Ecosystem Fluency in pandas/NumPy

Education

Bachelor’s degree in Computer Science or related field

Tools

BigQuery

RedShift

Spark

Dataflow

EMR

Git

Job description

Overview

A Senior Data Engineer and technical delivery lead, serving as the data architect who builds the scalable, quality-driven infrastructure essential for decisive business strategy.

Your Mission: The Role

You are a technically accountable, outcome-delivering Senior Data Engineer at Searce. You are the sole architect who translates complex business requirements into live data products, directly leading the design and hands-on execution of our scalable data infrastructure. You\'ll be the Directly Responsible Individual (DRI) for architecting, building, and optimizing the pipelines that guarantee the accuracy and availability of our core business metrics. Let\'s be clear: your success is defined entirely by the quality of the output and the business decisions it enables. You are accountable for building flexible, future-ready solutions and maintaining impeccable data quality across the enterprise. You are the senior technical authority on your workstreams. If you are a builder with the strategic brain of an architect and a fierce commitment to technical ownership—we\'ve got a seat for you. You\'re not a manager. You are the data transformation engine.

Your Responsibilities

This role demands a founder\'s mindset toward our internal data products. You own the strategy and the execution of transformative data solutions.

• Data Strategy & Architecture: Translate ambiguous internal business requirements into robust, fully optimized data services, solving critical business problems from the first principles.
• Pipeline Ownership (Batch & Streaming): Own the entire data lifecycle, personally building and optimizing pipelines to ensure high availability, performance, and timely data flow using the latest cloud platforms and tools.
• Deep Data Modeling: Design complex data structures, develop intricate stored procedures, and optimize transformations for speed and scale.
• Cross-Team Collaboration: Collaborate seamlessly with data scientists and internal business leaders, championing data governance and contributing technical expertise to platform innovation discussions.
• Technical Delivery Ownership: Effectively manage your own demanding work streams, ensuring projects deliver measurable business value on time and under budget.

Welcome to Searce

We\'re a \'process-first\', AI-native modern tech consultancy rewriting the rules. As an engineering-led consultancy, we relentlessly improve real business outcomes. Our solvers co-innovate with clients to futurify operations, making processes smarter, faster, and better. We build alongside clients for transformation, embedding lasting competitive advantage, not just vanity metrics. The result? Modern business reinvention, built on math, tech, and clarity of purpose.

Functional Skills:

• Business Translator: Articulates technical opportunities and risks into clear, actionable business strategies for internal stakeholders.
• Process-First Designer: Designs systems that guarantee data quality, consistency, and governance across all layers.
• Outcome Deliverer: Leads delivery through personal technical expertise, ensuring projects deliver measurable business value on time.
• Reliability Guardian: Takes extreme ownership over pipeline uptime, with a proven ability to implement durable fixes.

Tech Superpowers:

• Cloud Native Architect (GCP/AWS): 3+ years of expertise in hands-on building and optimizing Big Data pipelines and architectures, having delivered 2-3 major projects.
• Cloud Platform Mastery: Deep, hands-on capability with major cloud services (e.g., BigQuery, RedShift, Spark, Dataflow, EMR).
• Code Prowess: Expert-level SQL (non-negotiable) and production proficiency in Python, Java, or Scala.
• Ecosystem Fluency: Strong experience with the data science ecosystem (pandas, NumPy), connecting data directly to analytic outcomes.
• Engineering Hygiene: Expertise in version control (Git) and collaborative development workflows.

Experience and Relevance:

• Data Engineering Mastery: 3+ years of hands-on experience focused on architecting and deploying end-to-end data pipelines for Batch/Streaming data.
• Cloud Project Ownership: Proven experience personally building and delivering data warehousing and analytics projects using cloud technologies (GCP/AWS).
• Technical Depth: Demonstrated expertise in building complex Big Data architectures and optimizing transformations for speed and scale.
• Qualification: Bachelor’s degree in Computer Science or a related field.

Bonus Points (you will thrive if you have):

• Brings CTO Energy: You approach every problem with the vision and hands-on ownership of a chief technologist.
• Scaling Expertise (0→1, 1→10): You\'ve successfully taken data solutions from initial proof-of-concept to significant enterprise scale.
• Automation Advocate: Proven experience personally automating and streamlining operational data processes.