Trade Surveillance Engineer / Database Engineer

Trade Surveillance Engineer / Database Engineer

Posted 1 day ago by Intellectt INC

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Negotiable
Undetermined
Remote
Remote
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Apache Spark Capital Markets Database Security Data Engineering Data Governance Data Integrity Data Management Data Quality Data Validation Equities Extract Transform Load (ETL) File Servers Financial Market Fixed Income Income / Revenue Management Mapping Software Microsoft SQL Servers Python (Programming Language) Relational Databases SQL (Programming Language) Technical Documentation Verification And Validation

Summary: The TradingHub Trade Surveillance Engineer role involves designing, building, and maintaining data pipelines for a trade surveillance platform, with a focus on capital markets data and regulatory compliance. The position requires strong data engineering and ETL experience to ensure high data quality and support compliance efforts. Collaboration with various teams is essential to troubleshoot issues and optimize performance. The role is remote and emphasizes the importance of data governance and security.

Key Responsibilities:

  • Design, build, and maintain scalable ETL data pipelines for trading and market data
  • Integrate and configure the TradingHub trade surveillance platform
  • Build and optimize large relational database systems
  • Develop and maintain ETL processes to integrate new systems with existing data warehouses
  • Ensure high data quality, accuracy, completeness, and timeliness
  • Implement data validation, governance, and quality checks
  • Optimize database and pipeline performance
  • Enforce database security and data integrity controls
  • Troubleshoot complex data and production issues
  • Collaborate with compliance, trading, risk, and technology teams
  • Create and maintain technical documentation (data mapping, lineage, ETL processes)

Key Skills:

  • Trade Surveillance implementation experience using TradingHub
  • Strong ETL and data management experience (financial markets preferred)
  • Direct capital markets experience: equities, fixed income, FX, derivatives
  • Strong SQL skills
  • Proficiency in Python or C#
  • Experience with relational databases (e.g., SQL Server, Oracle)
  • Data quality and governance experience
  • Implementation support experience (3-5 years)
  • Big data technologies such as Spark or Hadoop
  • Familiarity with trade surveillance platforms (e.g., TradingHub, Actimize, SMARTS)

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Overview

We are seeking a TradingHub Trade Surveillance Engineer with strong data engineering and ETL experience to design, build, and maintain data pipelines supporting a trade surveillance platform. The role focuses on capital markets data, regulatory compliance, and high data quality.

Key Responsibilities

  • Design, build, and maintain scalable ETL data pipelines for trading and market data

  • Integrate and configure the TradingHub trade surveillance platform

  • Build and optimize large relational database systems

  • Develop and maintain ETL processes to integrate new systems with existing data warehouses

  • Ensure high data quality, accuracy, completeness, and timeliness

  • Implement data validation, governance, and quality checks

  • Optimize database and pipeline performance

  • Enforce database security and data integrity controls

  • Troubleshoot complex data and production issues

  • Collaborate with compliance, trading, risk, and technology teams

  • Create and maintain technical documentation (data mapping, lineage, ETL processes)

Required Skills and Experience

  • Trade Surveillance implementation experience using TradingHub

  • Strong ETL and data management experience (financial markets preferred)

  • Direct capital markets experience: equities, fixed income, FX, derivatives

  • Strong SQL skills

  • Proficiency in Python or C#

  • Experience with relational databases (e.g., SQL Server, Oracle)

  • Data quality and governance experience

  • Implementation support experience (3 5 years)

  • Big data technologies such as Spark or Hadoop

  • Familiarity with trade surveillance platforms (e.g., TradingHub, Actimize, SMARTS)

Regulatory Knowledge

  • Understanding of market abuse regulations and related compliance requirements

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