Data Engineer (Trade Surveillance)

ICAP

Belfast City District

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

TP ICAP in Belfast seeks a Data Ops Engineer to ensure reliable, scalable data pipelines for Trade and Communications Surveillance, bridging engineering and operations.

You will implement data quality checks, build AWS infra with Terraform/CDK, and collaborate with analysts and developers to maintain data lineage and regulatory compliance.

This role offers exposure to leading market data platforms and a path to influence data governance across the firm.

Qualifications

  • Strong ETL/ELT data pipeline experience in financial markets.
  • CI/CD pipelines understandings with a software engineering/data analytics background.
  • Proficiency in Python or Java, SQL, and data pipeline frameworks (Airflow, dbt, Spark) with AWS experience.
  • Excellent problem‑solving skills 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 with technical and non‑technical stakeholders.
  • Experience with Agile software delivery.

Responsibilities

  • Design, build, maintain and optimise end-to-end data pipelines between source data and destinations.
  • Implement data completeness and quality checks, validation rules, and reconciliation processes.
  • Identify Critical Data Elements and implement failover and recovery strategies.
  • Build AWS infrastructure using Terraform or CDK.
  • Write unit, integration, and infrastructure tests.
  • Monitor, investigate and resolve data anomalies with cross‑functional teams.
  • Implement data governance to ensure data loaded per platform requirements (Scila, Global Relay).
  • Partner with Data Strategy/Infrastructure to enforce data lineage, auditability and retention policies.
  • Ensure data processing complies with regulatory, legal, and security protocols.

Skills

ETL/ELT pipelines
Python or Java
SQL
Airflow
AWS ecosystem
CI/CD pipelines
Agile delivery
Communications

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Terraform
CDK
AWS Lambda
EventBridge
S3
DynamoDB
AWS Glue
Snowflake
Kafka
Kinesis
Grafana

Job description

Group Overview

The TP ICAP Group is a world leading provider of market infrastructure.

Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.

Through our people and technology, we connect clients to superior liquidity and data solutions.

The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.

The Group operates from more than 60 offices in 27 countries.We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.

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

  • 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.

  • 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 stakeholders.

  • Strong experience with Agile software delivery.

Desired

  • 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.

  • Strong understanding of modern foundation models, including Claude (Sonnet / Opus), OpenAI GPT models, and other leading LLMs.

  • Practical experience building applications using agentic or multi-agent workflows (e.g., tool use, planning, orchestration, retrieval, reasoning patterns).

Band & Level - Professional, 5

#LI-Hybrid #LI-MID #NIJobs

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 enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why were building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

UK - City Quays 3 - Belfast

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