# Senior Data Engineer at LSEG

LSEG is hiring a Senior Data Engineer in Bangkok, Thailand. Level rates it Works on AI ●●●○; you can [apply on LSEG](https://jobsbylevel.com/go/0d63cc64-ba2f-4bf7-a673-c17178e1169a?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. THA-Bangkok-One Bangkok.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 3 (score 65 out of 100)
- Location: THA-Bangkok-One Bangkok
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/0d63cc64-ba2f-4bf7-a673-c17178e1169a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-at-lseg-e1e3b8

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## Description

Job Description (Job advert content) About the Role We are looking for a Senior Data Engineer to join the Infrastructure Consumption Platform (ICP) team and play a key role in delivering scalable, high-quality data solutions across our engineering landscape. In this role, you will focus on building and optimising data pipelines, engineering reliable datasets, and enabling data-driven decision-making across infrastructure and operational domains. Working closely with the Infrastructure Data Manager and multi-functional teams, you will help shape how data is engineered, governed, and consumed to support critical initiatives, including infrastructure transformation, lifecycle management, and AI-driven analytics. What You’ll Do Engineer data products - develop reusable data models, curated datasets, and reporting layers for analytics and downstream consumption. Develop reliable data platforms - implement automation, monitoring, and validation to ensure data integrity and performance. Develop and support business applications and workflow automation solutions using Microsoft Power Platform. Collaborate across engineering and operations - translate business and technical requirements into scalable data solutions. Champion data governance - apply guidelines in modelling, lineage, documentation, and quality standards. Enable strategic outcomes - support transformation, lifecycle management, and cyber risk initiatives with engineered datasets. Drive AI adoption by building AI-ready data foundations that enable predictive analytics, anomaly detection, and intelligent automation and AI/ML use cases. Support agile delivery - chip in to sprint planning and iterative delivery. What You’ll Bring 4+ years in data engineering, analytics engineering, or similar roles. Strong SQL skills for transformation and optimisation. Experience building ETL/ELT pipelines and data integration solutions. Experience working with APIs, data ingestion frameworks, and system integrations. Experience developing and supporting business applications and workflow automation solutions using Microsoft Power Platform (Power Apps, Power Automate). Ability to engage with engineers, operations teams, and business users to understand requirements and deliver practical data solutions. Proficiency in Python or scripting for automation. Understanding of data architecture and pipeline design. Strong analytical and problem-solving skills. Strong communication skills and the ability to understand business processes and operational challenges to deliver effective data and automation solutions. Bonus Skills Experience with cloud-based data platforms and data warehousing technologies. Knowledge of CI/CD and DevOps practices. Experience with Power BI or semantic models. Understanding of IT infrastructure domains. Exposure to AI/ML data preparation and supporting AI/ML workflows. Why Join Us Work in a modern data platform team within Infrastructure Platform Engineering. Deliver scalable, engineering-led data solutions. Enable AI-ready data ecosystems. Collaborate in a global, high-impact environment. Grow in a culture of innovation and continuous improvement. The Infrastructure Platform Engineering (IPE) organisation is accountable for the engineering, automation, and operational reliability of Group Engineering’s core infrastructure services including on‑premises data centres, compute platforms, storage, private cloud, virtualisation, databases, and middleware technologies. Our mandate is to modernise legacy infrastructure, uplift operational maturity, and deliver Infrastructure‑as‑a‑Service using automation-first engineering principles. Within IPE, the Infrastructure Consumption Platform (ICP) team provides the foundational data capabilities that enable evidence‑based engineering decisions across the entire infrastructure stack. We maintain authoritative infrastructure datasets, lifecycle intelligence, and analytics used to support planning, refresh cycles, cyber risk management,

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