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.