Senior Data Engineer

About the Company

EC Markets is building a state-of-the-art in-house data centre to power our trading, operational, and marketing intelligence.

About the Role

We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal for a senior professional with deep data engineering capabilities and proven experience supporting financial or trading-driven organisations, willing to grow into a Head of Data.

Responsibilities

• Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS).
• Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse.
• Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue).
• Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation.

Data Governance & Quality

• Define and enforce data standards, quality assurance processes, and documentation across systems.
• Ensure system scalability, performance, and data privacy/security align with compliance and business requirements.

Cross-Functional Collaboration

• Partner closely with trading, finance, marketing, and management teams to map data requirements and deliver analytics-ready structures.
• Translate business objectives into technical roadmaps and actionable engineering tasks.
• Lead the technical implementation while coordinating with external vendors or internal IT teams as needed.

Key Objectives for the first six months

• Define the core data architecture and choice of toolset.
• Define data models.
• Establish a secure and automated data development cycle.
• Build foundational ETL pipelines.

Project Ownership

• Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions.
• Support future integration of a dedicated Data & Reporting Analyst role, planned for the following year.
• Own data privacy and security aspects from a technology standpoint.

Qualifications

• Degree in Computer Science, Data Engineering, or a related quantitative field.
• 5–8 years of experience in data engineering or infrastructure development.
• Experience in the financial services or fintech sector is highly desirable.

Required Skills

• Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments.
• Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent).
• Strong programming and data manipulation skills (Python, SQL).
• Solid background in financial reporting, trading data, or analytics within financial markets.
• Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units.
• Strong communication skills with the ability to bridge technical execution and business strategy.

Preferred Skills

• Experience in the financial services or fintech sector is highly desirable.