Senior Data Engineer

EC Markets is building a next-generation data platform to power trading, operational, and marketing intelligence. We are seeking a Senior Data Engineer to design and build our Snowflake-based Data Lakehouse, establishing a modern data ecosystem that supports advanced analytics, compliance, and decision-making across the business.

This is a high-impact role for an experienced engineer with a track record of architecting and implementing scalable data platforms — ideally in financial or trading environments — who can lead the build-out of our data infrastructure from the ground up.

Key Responsibilities

• Design and build a Snowflake-centric Data Lakehouse integrating structured, semi-structured, and unstructured data.
• Develop robust ETL/ELT pipelines that ingest and transform data from multiple internal systems (trading, CRM, finance, risk, etc.) and external APIs.
• Implement data models, schemas, and transformation frameworks optimised for analytical and regulatory use cases.
• Apply best practices in data versioning, orchestration, and automation using modern data engineering tools.
• Ensure scalability, data lineage, and governance across the data lifecycle.

Data Governance & Quality

• Define and implement standards for data validation, cataloguing, and documentation.
• Maintain high data integrity, privacy, and security aligned with FCA and GDPR requirements.
• Monitor and optimise query performance and storage efficiency.

Cross-Functional Collaboration

• Partner with business units (Trading, Finance, Marketing, Compliance) to capture data requirements and translate them into robust technical solutions.
• Support regulatory, management, and operational reporting requirements through structured data models.

Key Objectives

• Define the core Snowflake-based architecture and data model.
• Build foundational ETL/ELT pipelines from primary systems and third-party data sources.
• Establish automated CI/CD workflows for data operations.
• Deliver the first version of the EC Markets Data Lakehouse to support BI and compliance analytics.

Skills & Experience

• Proven experience designing and delivering DWH / Delta Lakehouse using Snowflake.
• Strong SQL and data modelling expertise (star/snowflake schemas, dimension/al modelling).
• Experience integrating SQL/No
  
  SQL databases and external APIs as data sources.
• Proficiency in Python or another scripting language.
• Familiarity with orchestration and transformation frameworks.
• Hands-on experience or a strong understanding of data analysis, visualisation, and operational reporting tools is highly desirable.
• Experience in financial services, trading, or fintech environments preferred.
• Excellent communication skills and ability to translate business requirements into scalable data architecture.

Qualifications

• Degree in Computer Science, Data Engineering, or related field.
• 5–8 years of hands-on experience in data engineering or infrastructure development.