Data Engineer

Kroll Global Solutions Inc.; Makati; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Kroll Global Solutions Inc. is seeking a high-performing Data Engineer to design and scale data infrastructure that powers analytics, automation, and AI across the firm.

You will build production-grade pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on impactful systems. You will collaborate with cross-functional teams to understand data requirements and deliver robust data models, ensuring data quality, performance, and cost efficiency in a

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related field.
• 3+ years of proven data engineering experience delivering business-critical software.
• Experience writing ETL/ELT jobs.
• Experience with Azure and Databricks Platform.
• Proficiency in Python and SQL.
• Excellent communication and ability to work with an international team.

Responsibilities

• Design and build scalable data infrastructure and Lakehouse architecture.
• Develop fault-tolerant ETL/ELT applications for analytics and AI workloads.
• Collaborate with stakeholders to deliver robust data solutions and support data infra needs.
• Explore new frameworks/tools to enhance AI capabilities while ensuring data quality.
• Identify redesigns to improve scalability, automate workflows, and optimise cost.
• Create robust data models and deliver actionable insights with cross-functional teams.
• Monitor, troubleshoot, and optimise data pipelines for performance.

Skills

ETL/ELT

Python

SQL

Azure

Databricks

REST APIs

Spark

Docker

Kubernetes

Delta Lake

Education

Bachelor's or Master's in CS/Engineering

Tools

Azure

Databricks

Delta Lake

Docker

Kubernetes

Spark

Job description

Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high-performing Data Engineer to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter.

At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges.

RESPONSIBILITIES:

• Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
• Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
• Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
• Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
• Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
• Choose the best tools/services/resources to build robust data pipelines
• Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
• Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency
• Broader work or accountabilities may be assigned as needed
• Continuously improve engineering processes, balancing speed, quality, and business impact

REQUIREMENTS:

• Bachelor's or master's degree in computer science, engineering, or a related field
• 3+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success
• Experience writing ETL/ELT jobs
• Experience with Azure and Databricks Platform
• Experience with Python, and SQL
• Excellent communication skillsi>
• Ability to work with an international team

DESIRED SKILLS:

• Cloud architecture principles: compute, storage, networks, security, cost
• Ability to develop REST APIs, Python SDKs or Libraries, Spark Jobs
• Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
• Knowledge of CI/CD, Git, or infrastructure-as-code concepts
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
• Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
• Strong problem-solving and analytical skills
• Strategic thinker and strong execution orientation
• Ability to work in cross-functional teams
• Attention to detail and data quality

WHY THIS ROLE?

• Work on real systems in production, not toy problems
• Learn how enterprise-scale data platforms are designed, operated, and evolved
• Direct mentorship from senior engineers and data leaders
• Meaningful impact on firm-wide analytics and automation initiatives
• A high-bar engineering environment focused on quality, scale, and long-term thinking

About Kroll

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity, not just answering all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you'll contribute to a supportive and collaborative work environment that empowers you to excel.

Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally and encourage our people to do the same.

Kroll is committed to equal opportunity and diversity, and recruits people based on merit.