Senior Analyst (Data Engineering)

Senoko Energy Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Senoko Energy Pte Ltd is seeking a skilled digitalization and data engineering professional to drive data‑driven transformations across internal operations. You will bridge business needs and technology execution, using AI, data and automation to improve decision‑making and operational performance.

You will work with business stakeholders, DIT teams and vendors to deliver end‑to‑end digitalization projects, codify and document processes, build data pipelines and automation workflows, and lead AI

Qualifications

• Bachelor's degree in CS/IT/SE or related technical discipline.
• At least 4 years of relevant experience in software/data engineering or analytics projects.
• Experience with digitalization or transformation projects from inception to production.
• Experience gathering requirements and translating business needs into solutions.
• Experience applying AI to business problems; back-office processes advantageous.
• Certifications such as Azure Data Engineer, Databricks, PMP, PRINCE2, CBAP or ITIL are advantageous.

Responsibilities

• Assist in discovery, design, and delivery of digitalization initiatives targeting internal operations and process automation.
• Engage with business stakeholders to uncover pain points and translate them into practical scalable technical solutions.
• Codify and document critical business processes.
• Assist in building data pipelines, internal tools, and automation workflows—making build-vs-buy decisions pragmatically.
• Assist to evaluate and manage third-party vendors and platforms where appropriate, ensuring fit-for-purpose outcomes.
• Assist to drive AI-powered initiatives including process automation, predictive analytics, and LLM-based tooling where relevant.
• Assist to define and uphold engineering standards, documentation practices, and solution governance across projects.
• Be part of the digitalization team, staying current with emerging technologies and bringing forward-thinking ideas to the table.

Skills

Python

Java

TypeScript

SQL

ETL/ELT

Data modelling

Data integration

Power BI

APIs

Automation

Databricks

Azure

DevOps

Education

Bachelor's degree in Computer Science/Information Technology/Software Engineering/Data Engineering

Tools

Databricks

Azure

Power BI

Job description

In this role, you will help transform manual and fragmented processes into efficient, data-driven and scalable digital solutions. You will bridge business needs and technology execution, using AI, data and automation to improve decision-making and operational performance. Working closely with business stakeholders, DIT teams and vendors, you will support end-to-end digitalization projects that deliver measurable and sustainable business value.

Key Responsibilities

Digitalization, AI, Data & Process Improvements

• Assist in the discovery, design, and delivery of digitalization initiatives targeting internal operations and process automation.
• Be part of the team in engaging with business stakeholders to uncover pain points and translate them into practical, scalable technical solutions.
• Codify and document critical business processes.
• Assist in building data pipelines, internal tools, and automation workflows — making build-vs-buy decisions pragmatically.
• Assist to evaluate and manage third-party vendors and platforms where appropriate, ensuring fit-for-purpose outcomes.
• Assist to drive AI-powered initiatives including process automation, predictive analytics, and LLM-based tooling where relevant.
• Assist to define and uphold engineering standards, documentation practices, and solution governance across projects.
• Be part of the digitalization team, staying current with emerging technologies and bringing forward-thinking ideas to the table.

Requirements:

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Engineering or a related technical discipline.
• At least 4 years of relevant experience in software engineering, data engineering, IT applications or analytics-related projects.
• Experience contributing to digitalization or transformation projects from inception to production.
• Experience with requirements gathering, identifying business needs and recommending solutions that deliver stakeholder value.
• Experience applying AI to business problems and exposure to operational or back-office processes are advantageous.
• Relevant certifications such as Azure Data Engineer, Databricks Certified Associate, PMP, PRINCE2, CBAP or ITIL are advantageous.

Technical Skills

• Proficiency in at least one modern programming language, such as Python, Java or TypeScript.
• Strong SQL skills, including manipulation and transformation of datasets and an understanding of SQL tuning.
• Knowledge of ETL/ELT pipelines, data modelling and integration across systems.
• Hands-on experience with Power BI or other data visualisation tools.
• Experience with APIs, automation and data platforms, preferably Databricks, is advantageous.
• Familiarity with cloud platforms, preferably Azure, modern DevOps practices, SaaS tools and enterprise systems is advantageous.

Skills & Attributes

• Strong analytical and problem-solving skills, with an ability to identify root causes rather than address symptoms only.
• Creative and resourceful, with the ability to propose practical solutions within resource constraints.
• Effective communication skills and the ability to translate technical concepts for non-technical stakeholders.
• Self-directed, detail-oriented and comfortable managing ambiguity in a dynamic environment.
• Strong sense of ownership and a genuine passion for using technology to make work smarter and more efficient.