Data Engineering

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

As an experienced data engineer, you will take on challenging projects that drive the evolution of our data platform, including complex dataset assembly, data warehousing, and other advanced initiatives.

The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and architectures to support data analytics, reporting, and machine learning initiatives.

This role bridges the gap between data collection, storage, and analysis—ensuring that data flows smoothly and efficiently across the organization.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

What you'll actually do

• Assemble large, complex datasets that meet functional and non-functional business requirements (business cases).
• Prepare datasets from various sources by request.
• Take care of data warehousing as a process.
• Implement and support data model changes.
• Develop new integrations and data marts.
• Recommend ways to improve data reliability, efficiency, and quality.
• Describe entities and lineage in our data catalog.

Who we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• Relevant certifications (optional but beneficial).
• 3+ years of professional experience in data engineering.
• Deep knowledge of primary data warehousing (DWH) design methodologies.
• Experience with columnar and massively parallel processing (MPP) databases like Vertica, ClickHouse, and similar.
• Experience with relational databases PostgreSQL, Oracle, and similar.
• Familiarity with orchestration tools such as Apache Airflow or Prefect.
• Solid skills in Python and understanding of the object-oriented programming paradigm.
• Experience with Big Data Processing & Data Lakes is a plus.
• Good communication and problem-solving skills.
• Ability to use advanced English for different work and business purposes.
• Capacity for critical thinking and attention to detail.
• Decision-making skills and the ability to adapt to new changes.
• Ability to write concise and clear documentation.
• Capability of dealing with constructive critics and knowing how to develop relationships with the team to achieve common goals.

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 naturalization process for relocated employees.

What your journey looks like

1. Intro call with Recruiter (30 minutes).
2. English check (for non-native English speakers).
3. Tech interview (90 minutes).
4. Test Task.
5. Behavioral interview (60 minutes).

What it's like here

• Curious about what working at Exness really looks like? Follow us on Instagram and LinkedIn.
• We share the real Exness experience—our people, ideas, moments, and everything in between.

The starting salary mentioned is an indicative starting number and the final amount will depend on the personal tax specifics and level of seniority determined during the interview process. This is the base salary only, and the total compensation will also include the performance-based bonus and benefits/allowances.