Data Engineer - Databricks

The Citco Group Limited; Pampanga; Hybrid; PHP 3,069,367 - 4,297,114; Full time

Benefits offered by this job

Flexible working arrangements

Training and education support

Diversity and inclusion initiatives

Job summary

The Citco Group Limited is looking for an IT Developer – Data Engineer in Pampanga, Philippines. This role involves designing ETL/ELT pipelines, migrating data platforms to Databricks on AWS, and collaborating with teams on data solutions. Candidates should have 3–5 years of data engineering experience, particularly with Databricks, and skills in SQL, Python, and AWS services. The company offers flexible working arrangements and a commitment to diversity and inclusion.

Qualifications

• 3–5 years of hands-on data engineering experience, including Databricks.
• Strong hands-on experience with Databricks core components.
• In-depth knowledge of SQL and Python, or PySpark.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Support data platform migration activities to Databricks on AWS.
• Write efficient SQL queries and optimize performance.

Skills

Data engineering experience

Databricks experience

SQL

Python

AWS services integration

ETL/ELT processes

Education

Bachelor's degree or equivalent experience

Tools

Databricks

AWS Glue

Power BI

Job description

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.

Job Description

IT Developer – Data Engineer

Clark, Philippines

About the Team & Business Line

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centers, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award‑winning products that underpin our commitment to service excellence.

Your Role

• Design, develop, and maintain ETL/ELT pipelines using Databricks Delta Lake and Apache Spark
• Support data platform migration activities, including migrating pipelines, workflows, and data assets from legacy or alternative platforms (e.g., on‑premise, other cloud platforms) to Databricks on AWS
• Assess, plan, and execute end‑to‑end migration strategies ensuring minimal disruption and data integrity throughout
• Build and manage AWS‑based data pipelines using AWS Glue, S3, and related ETL services
• Implement data workflows using Databricks notebooks, jobs, and AWS Glue workflows
• Create and optimize data models for both batch and streaming data processing
• Develop and maintain data quality frameworks and monitoring systems during and post‑migration
• Collaborate with cross‑functional teams to understand data requirements and implement scalable solutions
• Write efficient SQL queries and optimize performance of existing queries
• Implement data security and governance practices aligned with organizational standards
• Build and maintain documentation for data processes, migration runbooks, and architectures (e.g., Medallion Architecture)
• Explore and apply Gen AI / Machine Learning capabilities on data pipelines where applicable
• Stay current with new and upcoming features of Databricks, AWS, and emerging data tools

About You

Experience and Technical Skills

• 3–5 years of hands‑on experience in data engineering, with at least 2–3 years of dedicated Databricks hands‑on experience including notebooks, clusters, jobs, Delta Live Tables, and Unity Catalog
• Strong hands‑on experience with Databricks core components.
• Delta Lake & Delta Live Tables (DLT).
• Databricks Workflows & Job Orchestration.
• Unity Catalog & Data Governance.
• Databricks AutoLoader & Structured Streaming.
• In‑depth knowledge of SQL, Python, PySpark, and/or Scala within the Databricks environment
• Strong expertise integrating Databricks with AWS services including S3, AWS Glue, Athena, and Lambda
• Hands‑on experience building and managing ETL/ELT jobs in AWS (Glue Jobs, Glue Crawlers, Glue Data Catalog)
• Demonstrable experience in real‑time and batch data processing using Databricks
• Experience with PL/SQL programming, creating SQL scripts and writing stored procedures
• Familiarity with BI Tools such as Power BI and/or QLIK.

Education

• Bachelors' degree or equivalent experience
• Demonstrated commitment to continuous improvement and training

Desired Skills And Expertise

• Databricks Data Science/Engineer certifications
• PowerBI, Predictive Analytics, AI/ML, Medallion architecture
• Exposure to or working knowledge of Generative AI, LLMs, or Machine Learning in a data context (e.g., MLflow, feature stores, model serving) — nice to have

Our benefits

Your wellbeing is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. We recognize diversity as a source of organizational pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the people we hire, and the culture we create in our organization. Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.