Senior Data Engineer

Kroll; Manila; On-site; PHP 1,000,000 - 1,400,000; Full time

Job summary

Kroll in Manila is seeking a Senior Data Engineer to design, build, and optimize data pipelines from diverse sources, enabling analytics, reporting, and AI workloads. You will work with Azure and Databricks, Python, and SQL to deliver scalable data infrastructure and robust ETL/ELT processes across teams.

As a mentor to junior engineers, you will collaborate with international colleagues, drive data quality, and continuously improve engineering practices in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• 5+ years of proven experience in data engineering delivering enterprise-scale solutions.
• Experience writing ETL/ELT jobs.
• Experience with Azure and Databricks Platform.
• Proficient in Python and SQL and REST APIs.
• Excellent communication and ability to work with an international team.

Responsibilities

• Design and build scalable data infrastructure with Medallion architecture in a Lakehouse environment.
• Develop robust ETL/ELT applications for data ingestion, transformation and distribution for analytics and AI workloads.
• Collaborate with stakeholders to define data requirements and data models.
• Monitor, troubleshoot, and optimize data pipelines for performance and cost efficiency.
• Mentor junior engineers and share best practices to improve engineering processes.
• Stay up-to-date with emerging data engineering technologies and trends.

Skills

Data engineering

ETL/ELT

Python

SQL

REST APIs

Azure

Databricks

CI/CD

Git

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Azure

Databricks

Docker

Kubernetes

Git

CI/CD

Job description

Job Description:

We are hiring a Senior Data Engineer to join our team. At Kroll, we are building a strong, forward-looking data practice that integrates artificial intelligence, machine learning, and advanced analytics. You will be designing, building, and integrating data pipelines from diverse sources and collaborate with teams that serve the world’s largest financial institutions, law enforcement bodies, and government agency.

The Day-to-day Responsibilities Include But Not Limited To

• 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
• Continuously improve engineering processes, balancing speed, quality, and business impact
• Coach, mentor, and provide technical guidance to junior engineers, fostering a culture of continuous learning and development
• Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions

Requirements

• Bachelor’s/Master’s degree in computer science, engineering, or a related field
• 5+ 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, SQL, and REST APIs
• Excellent communication and the ability to reason about trade-offs
• Ability to work with an international team

Desired Skills

• Cloud architecture principles: compute, storage, networks, security, cost
• 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

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 will 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.