Job Specifications
Overview
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
Architecture & Development
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/NoSQL 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.
About the Company
Official Global Partner of Liverpool FC
Institutional-grade trading at your fingertips. CFDs on forex, commodities, indices, metals, energies & crypto.
Tight spreads | Lightning-fast execution | Advanced platforms | Multi-regulated: FCA, FSCA, ASIC, FMA, FSC, FSA & SCA
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