
Data Engineer
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As a Data Engineer, you will be responsible for designing, building, and maintaining ETL/ELT pipelines and data models to transform raw platform data into reliable, decision-ready information for a financial/FX company.
รายละเอียดงาน
About the Company
David Kennedy Recruitment is working with a young financial/FX company led by a management team with over 20 years of experience. Their mission is to simplify trading complexities and deliver excellence to clients across multiple continents and countries.
Position: Data Engineer
We are for a Data Engineer to own the pipelines and data infrastructure that turn raw platform data into reliable, decision-ready information.
Responsibilities:
- Design, build and maintain ETL/ELT pipelines integrating data from trading platforms, CRM systems, marketing tools and internal platforms
- Consolidate data from multiple sources into a unified, analytics-ready data layer
- Develop and maintain data models supporting reporting, analytics and internal applications
- Build and automate recurring business reports covering registrations, deposits, active traders, trading volume and IB performance
- Ensure data accuracy, consistency, integrity and proper documentation across all systems
- Optimise SQL queries, database structures and pipeline performance for high-volume transactional datasets
- Collaborate with Development, Marketing and Operations teams to deliver scalable data solutions based on business requirements
- Support the continuous development of the company's data infrastructure and internal data tools
- Troubleshoot data issues and implement improvements to data quality and performance
- Maintain documentation for data architecture, business metrics and data workflows.
Requirements:
- Minimum 3 years of experience as a Data Engineer or in a similar data-focused role
- Strong SQL expertise with hands-on experience using MySQL and PostgreSQL
- Experience designing, developing and maintaining ETL/ELT pipelines
- Strong knowledge of data modelling, data warehousing and dimensional modelling concepts
- Proficiency in Python or a similar programming language for data processing and automation
- Experience working with large transactional datasets and ensuring data quality
- Strong analytical and problem-solving skills
- Excellent documentation and communication skills
- Ability to collaborate effectively with both technical and non-technical stakeholders
- Experience within FinTech, Forex, Trading or another highly regulated data-driven industry is an advantage
- Familiarity with MT4/MT5 database schemas is an advantage
- Experience with BI tools such as Looker, Metabase, Power BI or similar is an advantage
- Experience with cloud platforms, Docker, Airflow, dbt or workflow orchestration tools is an advantage
- Understanding of Introducing Broker (IB), affiliate or MLM commission structures is an advantage
Offer:
- On-site or hybrid working model
- Opportunity to work within a global Forex and FinTech environment
- Exposure to large-scale trading and business intelligence data
- Collaborative international team
- Opportunity to contribute to the growth of the company's data infrastructure
- Professional development and career growth opportunities
- And many more!!!
สวัสดิการที่ได้รับ
คุณสมบัติผู้สมัคร
- ประสบการณ์
- 3-5 ปี
- การศึกษา
- ไม่ระบุ
เกี่ยวกับบริษัท

