Data Engineer

tp; Manila; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

TP ICAP seeks a Data Ops Engineer to design and maintain end-to-end data pipelines for surveillance and trading data. You will ensure data completeness, quality, and timely delivery, collaborating with analysts, developers, and testers to uphold regulatory compliance.

The role emphasizes automation, scalable architectures on AWS, and governance across data flows, enabling reliable analytics in a fast-paced environment.

Qualifications

• Experience building ETL/ELT data pipelines for financial market data and surveillance platforms.
• Strong understanding of CI/CD and software engineering practices.

Responsibilities

• Design, build, maintain end-to-end data pipelines between source data and targets.
• Implement data quality checks and reconciliation processes to ensure accuracy.
• Identify critical data elements and implement failover/recovery strategies.
• Build AWS infrastructure using Terraform or CDK.
• Write unit, integration, and infrastructure tests.
• Monitor and resolve data anomalies with cross-functional teams.
• Ensure data governance and lineage across pipelines for compliance.
• Collaborate with stakeholders to translate business rules into technical specs.

Skills

ETL/ELT pipelines

CI/CD pipelines

AWS services

Python

SQL

Airflow / dbt / Spark

Agile methodology

Communication

Education

Bachelor's in CS / Data Science / Engineering

Tools

Terraform

CDK

Snowflake

Kinesis

Grafana

Job description

Role Overview

Effective Market Abuse Surveillance is highly dependent on data of multiple types and from many different sources. Trade Surveillance requires complete Trade and Pre-Trade transactional data, Instrument and Client Reference Data and Market Data. Communications Surveillance requires ingestion of messages from multiple electronic platforms.

This role will play a critical role in ensuring the reliability, scalability, and compliance of data pipelines that support surveillance systems across communications and trading activities, covering the above structured and unstructured data.

The role bridges engineering and operations, enabling robust data ingestion, transformation, and monitoring to meet regulatory and internal compliance requirements. The Data Ops Engineer will play a critical role in collaborating with upstream teams to ensure data completeness, accuracy, and timeliness is as expected and that any data completeness or quality issues are visible.

The role will also work on other Surveillance data initiatives such as persisting Surveillance Alerts in the firm's data lake for analytics purposes.

Role Responsibilities

• Design, build, maintain and optimise end-to-end data pipelines and workflows between the source data points and target destinations, working with the wider Surveillance Technology team to prioritise automation, scalability and strategy at the heart of the design.
• Implement automated data completeness and quality checks, validation rules, and reconciliation processes to ensure accuracy, completeness, and timeliness of the data ingested and to make visible any data that is not processed.
• Identify Critical Data Elements and implement failover and recovery strategies for the respective Data Flows.
• Build AWS infrastructure using Terraform or CDK
• Write unit, integration, and infrastructure tests
• Monitor, investigate and resolve data anomalies through collaboration with, Business Analysts, Developers, and Testers across functions and verticals.
• Implement data management and governance frameworks to ensure data is ingested and loaded per the requirements of the consuming platform; Scila for Trade Surveillance, and Global Relay for Communications Surveillance.
• Partnering with the Data Strategy and Data Infrastructure team to ensure Data Lineage, auditability and retention policies are enforced across all necessary pipelines.
• Ensuring that Data consumed and processed is compliance with regulatory, legal, and security protocols.
• Work closely with surveillance analysts, compliance officers, and engineering teams to translate business rules into technical specifications.
• Partnering closely with stakeholders and subject matter experts such as the Cloud Infrastructure team to optimise performance and costs.

Experience / Competences

Essential Criteria

• Strong experience ETL/ELT data pipeline builds from design, to implementation, to maintenance in relation to financial market messaging platforms, and trade & order systems.
• Solid understanding of CI/CD pipelines, ideally with a background in software engineering, product management or data analytics.
• Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family.
• Strong proficiency in Python or Java, SQL, and data pipeline frameworks (e.g., Airflow, dbt, Spark), with solid experience with the AWS ecosystem.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• Previous experience in Data Ops and Data Engineering.
• Strong communication and collaboration skills to engage with technical and non-technical stakeholder.
• Strong experience with Agile software delivery.

Desired Criteria

• Experience with market data ingestion, metadata extraction, and event-driven architectures.
• Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family.
• Knowledge of streaming technologies (Kafka, Kinesis) and API integrations, and hands‑on experience with monitoring tools (e.g. Grafana) and observability practices.
• Proficient with Terraform or CDK (infrastructure-as-code).
• Experience in Business Communications Technology e.g. Bloomberg, ICE, Symphony, Teams Chat, etc.
• Familiarity with security best practices, IAM, and VPN configuration.
• Experience with regulatory compliance and data security in financial services.
• Knowledge of financial markets and trading platforms.
• Experience with GitLab, Qliksense & Alation
• Certifications in DataOps, cloud platforms, or related areas.

Job Band & Level : Professional, 5

#LI-Hybrid #LI-ASO

Not The Perfect Fit?

Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are