Senior Data Engineer

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EC Markets

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

₿ Crypto

Finance • Fintech • Crypto

EC Markets is a multi-regulated online financial broker that provides retail and institutional clients with access to CFD trading across forex, precious metals, energies, global indices, and cryptocurrencies. The firm offers MetaTrader 4/5 platforms, a mobile trading app, copy trading and trading tools, and emphasizes rapid order execution, competitive spreads, and client protection through regulatory licences and insurance partnerships. EC Markets operates internationally under multiple licences and focuses on retail trading, market analysis, and educational resources.

📋 Description

• Assume ownership of a Snowflake-centric Data Lakehouse integrating structured, semi-structured, and unstructured data • Develop and support ETL/ELT pipelines ingesting and transforming data from internal systems and external APIs • Implement data models, schemas, and transformation frameworks for analytical and regulatory use cases • Apply data versioning, orchestration, and automation best practices • Ensure scalability, data lineage, and governance across the data lifecycle • Build and own Snowflake semantic models using DirectQuery and Import • Develop operational reports, dashboards, and data extracts • Maintain data integrity, privacy, and security aligned with FCA and GDPR requirements • Monitor and optimize query performance and storage efficiency • Partner with Trading, Finance, Marketing, Compliance, and Operations to translate requirements into technical solutions • Support regulatory, management, and operational reporting through structured data models

🎯 Requirements

• Experience in financial services, trading, or fintech environments • Proven experience designing and delivering DWH / Delta Lakehouse using Snowflake • Expert SQL and data modelling expertise, including star/snowflake schemas and dimensional modelling • 2+ years writing dbt models in production • Experience with dbt sources, snapshots, tests, macros, exposures, and medallion architecture • 3+ years building production Power BI on enterprise warehouses • Expert DAX, including time intelligence, variables, virtual relationships, and calculation groups • Proficiency with Power Query / M, Tabular Editor, and DAX Studio • Strong SQL on Snowflake • Understanding of warehouse sizing, clustering, query profiles, and cost levers • Familiarity with orchestration and transformation frameworks • Hands-on experience with data analysis, visualization, and operational reporting tools • Excellent communication skills and ability to translate business requirements into scalable data architecture • Degree in Computer Science, Data Engineering, or a related field • 5–8 years of hands-on experience in data engineering and/or analysis • Nice to have: Python or another scripting language • Nice to have: AWS (ECS, S3, IAM), Terraform, Git/GitHub Actions • Nice to have: Power BI Embedded, Fabric, or a credible opinion on when not to use them • Nice to have: Microsoft Fabric Direct Lake, Snowflake Cortex / Claude.ai connector, or other AI-on-warehouse patterns