Senior Data Engineer (Middle) - Data Infrastructure & Analytics
Lead the design and maintenance of FP Markets' data infrastructure, architecting scalable data pipelines and models to support trading and analytics. Collaborate with stakeholders to deliver robust solutions for business intelligence and strategic decision-making. Requires 3+ years of data engineering experience with Python, SQL, and ETL/ELT expertise.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Middle Data Engineer in our Cyprus office - a certified Great Place to Work®.
You will play a crucial role in architecting and maintaining the data infrastructure that powers our organization. You will work across the entire data lifecycle from ingestion through analysis collaborating with business stakeholders and development teams to deliver robust, scalable data solutions that drive business intelligence and support strategic decision-making.
Reporting to: Head of Data & Analytics
Responsibilities:
- Develop and maintain data integration solutions for extraction, transformation, and loading of data into Data Lake/Data Warehouse environments using cloud-based technologies
- Design and implement rich data models and contribute to the continuous development of the organization's data estate architecture
- Develop and onboard new data pipelines while ensuring reliability, operational stability, and performance of existing systems
- Support the data platform through proactive maintenance, operational oversight, and investigation of data-related incidents
- Analyze business requirements and implement innovative, scalable solutions to meet both immediate and long-term analytics and BI demands
- Evaluate and introduce new frameworks and technologies to drive continuous improvement of the data platform and processes
- 3+ years of total professional experience in Data Engineering
- Experience in Trading or FinTech is advantageous but not required
- Good hands-on experience with:
- Python
- SQL
- Dbt concepts
- Experience with ClickHouse is preferred but not mandatory
- Experience working with MPP databases is preferred but not mandatory
- Candidates without ClickHouse or MPP experience can be considered if they demonstrate a strong willingness to learn
- Good understanding of ETL/ELT processes, data modelling, and analytical data pipelines
- Ability to work effectively as part of a data engineering team and develop production-ready data solutions
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- Experience with ClickHouse and/or MPP databases
- Experience with Airflow, Spark, Greenplum, or other modern data engineering technologies
- Previous experience in FinTech, Banking, Trading, or other data-intensive industries
- Ready to automate routines with codex/clade/cursor
- A certified Great Place to Work® reflecting our commitment to a positive culture, employee well-being, and support
- Welcoming, young and multicultural team with approachable leadership
- Ability to contribute to a dynamic business at a growth phase
- High level of autonomy, support of ideas and putting your expertise into the best practices for the company
- Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders
- Competitive remuneration, regular salary reviews and performance-based incentive schemes
- Vibrant company life: from team activities to global celebrations
- New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches
- Free access to multiple sports and wellness facilities across the country
- Free company-provided parking
- Medical insurance and pension fund after probation period
- A gift and a day off on your Birthday
- Visa and work permit support if required
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- Interview with HR (30 - 45 min)
- Technical interview with your future manager (1 h)
- Interview with the team (1h)
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