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Adecco • Singapore, Singapore
Role & seniority: Data Engineer, mid-level (3–4 years experience); contract role with immediate/short-notice start preferred
Stack/tools: Python, SQL, Spark (distributed data processing); CI/CD fundamentals; familiarity with agentic design patterns and evaluation of agent behavior
Build end-to-end agentic systems to autonomously identify sales opportunities, run analyses, and generate actionable recommendations
Design and run rigorous A/B tests and quasi-experiments to measure impact on merchant revenue and ad spend
Develop core features for internal Agents platform (evaluation frameworks, tool orchestration, safety controls) and maintain data pipelines and decision intelligence blocks (segmentation, uplift)
Proficient in Python and SQL; strong experience with Spark or similar distributed compute
Track record shipping end-to-end data/ML solutions
Solid software engineering fundamentals and CI/CD practices
Ability to operate in ambiguity and influence both technical and non-technical stakeholders
Experience designing/analysing controlled experiments (A/B tests)
Familiarity with agentic design patterns (tool use, orchestration, RAG) and evaluating agent behavior
Experience with quasi-experimental methods and rigorous experimentation
Experience with safety controls, tool orchestration, and evaluation frameworks
Location & work type: Contract position; location no
Data Engineer A famous Tech MNC
The Opportunity Adecco is partnering our client, a famous Tech MNC We are looking for a Data Engineer The role will start out as a contract Candidates who are immediately available/ able to start work within short notice will be preferred
The Talent
At least 3-4 years of experience in data science, analytics, or machine learning, with a track record of shipping end-to-end solutions. You are proficient in Python, SQL, and distributed data processing frameworks like Spark. Familiarity with agentic design patterns (tool use, orchestration, RAG) and evaluating agent behavior. Strong expertise in designing and analyzing controlled experiments (A/B tests) and quasi-experimental methods. Possess solid software engineering fundamentals, including writing maintainable code and working with CI/CD practices. Ability to operate in ambiguity and influence decisions across both technical and non-technical audiences.
Job Description
You will build end-to-end agentic systems that autonomously identify sales opportunities, run analyses, and generate actionable recommendations. You will design and run rigorous A/B tests and quasi-experiments to measure the impact of agents on merchant revenue and ad spend. You will develop core features for company's internal Agents platform, including evaluation frameworks, tool orchestration, and safety controls. You will build and maintain data pipelines and "decision intelligence" blocks (segmentation, uplift) using distributed compute (e.g., Spark). You will partner with business stakeholders to translate sales workflows into technical solutions and communicate causal impact clearly.
Next Step Prepare your updated resume Send your resume to Xinyang.liu@Adecco.com All shortlisted candidates will be contacted Liu XinYang
EA Licence Number: 91C2918
Personnel Registration Number: R1988872
Liu Xinyang
Direct Line: +65 6697 7868
EA License No: 91C2918
Personnel Registration Number: R1988872