Big Data Engineer

At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide. 

Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

Why this role matters

We are looking for an experienced Big Data Engineer for our Big data team to develop and maintain the corporate Data Lake. We are seeking a professional capable of effectively supporting the building of machine learning models and data science across various business domains.  In addition to your Big Data duties, we would be happy to provide support and education to get Tableau Certified!

What you'll actually do

• Develop Data Platform services for Data-Driven Decision-Making, such as:

  • Implement and operate Data Lake (S3 MinIO + Spark).

  • Maintain Spark on k8s.
  • Maintain and enrich an environment for the creation of data assets such as (ETL / ELT pipelines, DDL, etc.) via the development of data transformation tools
    
    
• Active participation in the development of the data platform environment:
  • Creating and monitoring compliance with data security policies, code policies, and naming conventions.
  • Participate in Data Platform architecture development.
  • Recommend ways to improve data reliability, efficiency, and quality.
   

Who we’re looking for

• Strong knowledge of Spark architecture; deployment and maintaining Spark on Hadoop, k8s or standalone experience.
• Experience with relational databases like Vertica, PostgreSQL, ClickHouse and similar.
• Experience with Big Data Processing & Data Lake building.
• Experience building ETLs / ELTs to take data from various data sources.
• Python/Scala skills associated with data engineering activities.
• Expert structured query language (SQL) knowledge.
• Understanding of base principles CI/CD in the data processing area.

It will also be a plus:

• • Practice knowledge of Apache Spark on batch and real-time data processing.
  • Awareness of building stream-processing systems using solutions such as Flink/spark-streaming.

What we offer along the way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

What your journey looks like

1. Intro call (up to 45 minutes)
2. Technical interview (1,5 hours)
3. Live-coding (1,5 hours)
4. Final interview (1 hour)

Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.