Talantix.io
Square One Resources•10.04.26
AI SCORE 8.5

Risk Data Platform Engineer - Remote Opportunity

$90K–$120K/year
RemoteData EngineeringRelocation
SQL•Python•ETL•Data Warehousing•BI Tools

About the Role

We're hiring a Risk Data Platform Engineer to join our innovative team. This remote opportunity allows you to build and maintain the Risk data foundation, automating risk reporting across the company. As a Risk Data Platform Engineer, you will play a crucial role in reducing manual spreadsheets and enabling consistent, auditable Management Information (MI).

What You'll Do

  • Design and maintain the risk data warehouse/marts, integrating key sources such as trading/exposure, finance/cash, and operational metrics.
  • Build ETL/ELT pipelines with monitoring, logging, access controls, and data quality checks to ensure completeness and accuracy.
  • Iterate over the canonical data model to maintain adaptability to the evolving business model.
  • Automate recurring MI reports, including mark-to-market and daily reports, to enable self-service dashboards.
  • Maintain metric definitions, documentation, and change logs to ensure MI is regulator/audit ready.
  • Translate Risk requirements into data products, managing a delivery backlog and iterating with stakeholders.
  • Create and maintain quantitative risk models that produce outputs for liquidity and risk management.
  • Deliver key outputs including documented datasets, scheduled pipelines with alerts, and automated MI packs/dashboards.

Requirements

  • Strong experience with SQL and Python, particularly in data warehousing and building robust production pipelines.
  • Experience with BI tooling and disciplined documentation practices.
  • Comfortable working in regulated environments.
  • A Master's degree in a relevant field is preferred.
  • Proven ability to work collaboratively and communicate effectively with stakeholders.

Nice to Have

  • Experience with quantitative risk modeling.
  • Familiarity with data governance and compliance standards.
  • Knowledge of automation tools and practices.

What We Offer

  • Competitive salary ranging from $90,000 to $120,000 annually.
  • Comprehensive relocation support to help you move and settle in Malta.
  • Flexible remote working arrangements.
  • Opportunities for professional development and career advancement.
  • Collaborative and inclusive team culture.
Why This Job8.5 of 10

This Risk Data Platform Engineer position offers a unique opportunity to work remotely while contributing to critical data infrastructure. With competitive compensation and relocation support, it's an attractive role for data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in SQL and Python with hands-on experience in ETL processes, ensuring the ability to manipulate and analyze large datasets effectively.

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Strong problem-solving mindset with a proactive approach to automating data workflows, reducing reliance on manual spreadsheets and enhancing data accuracy.

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Experience in data warehousing and familiarity with BI tools (such as Tableau or Power BI) to visualize risk data and create actionable insights for stakeholders.

Learning Resources

→SQL for Data Sciencecourse
→Introduction to Data Warehousingcourse
→Python ETL: A Guide to Extract, Transform, Loadarticle

Career Path

Risk Data Platform Engineer(Now)→Data Engineering Lead(1-2 years)→Head of Data Analytics(3-5 years)

Market Overview

Market Size 2024
$70B
Annual Growth
12.5%
AI Adoption
45%
Investment in Data Solutions
+50%
Labour Demand for Data Engineers
+28%
Avg Salary for Risk Data Engineers
$120K

Skills & Requirements

Required
SQLPythonETL
Growing in Demand
Data Visualization (Tableau, Power BI)Cloud Data Services (AWS, Azure)Machine Learning Basics
Declining
Traditional Data ModelingExcel-based Reporting

Domain Trends

Rise of Cloud Data Warehousing
By 2025, 70% of data warehouses will be cloud-based, improving scalability and reducing costs.
Increased Focus on Data Governance
Over 60% of organizations are prioritizing data governance initiatives to ensure compliance and data quality.
Integration of AI in Data Processing
AI-driven analytics tools are projected to grow by 35% annually, enhancing data insights and decision-making.

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