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 at Exness in Limassol, Cyprus, you will play a critical role in the Technology department, focusing on developing our data platform through the assembly of complex datasets and data warehousing processes. With a high level of autonomy, you will drive ambitious projects aimed at enhancing data reliability, efficiency, and quality, while collaborating with a team of over 500 engineers. Your work will significantly impact the division by ensuring that functional and non-functional business requirements are met, ultimately advancing the company's goals.
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
- The Data Engineer is accountable for assembling large, complex datasets that meet both functional and non-functional business requirements. This includes preparing datasets from various sources as requested to ensure that data is available for analysis and decision-making.
- The role involves overseeing the data warehousing process, implementing and supporting data model changes, and developing new integrations and data marts. This ensures foundational data structures are robust, scalable, and accommodate the evolving needs of the business.
- The Data Engineer enhances the company's internal data platform by identifying current issues, proposing new features, and gathering feedback from team members.
- A key accountability is to improve data reliability, efficiency, and quality. Through analyzing existing processes and identifying areas for enhancement, the Data Engineer ensures that data integrity is maintained and maximized throughout the organization.
- The Data Engineer is responsible for accurately describing entities and lineage in the data catalog. This includes writing concise and clear documentation that aids in understanding data flows and dependencies within the organization.
- The role requires deep knowledge of primary data warehousing design methodologies, strong experience with column-oriented databases, and expert proficiency in SQL and relational algebra. The Data Engineer must also possess solid skills in Python.
- The Data Engineer must effectively communicate and collaborate with team members and stakeholders, leveraging good problem-solving skills to address challenges that arise. The ability to adapt to new changes and accept constructive criticism is essential for fostering a productive team environment.
- The Data Engineer contributes to onboarding and mentoring less experienced engineers.
Who we’re looking for
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
- 5+ years of hands-on experience in Data Engineering or related roles
- Solid Python development skills for data services, automation, and platform tooling
- Experience working with production data pipelines and analytical workloads
- Experience implementing data quality checks, monitoring, observability and troubleshooting production data pipelines.
- Deep knowledge of primary DWH design methodologies
- Experience working with analytical or transactional databases such as Vertica, PostgreSQL, ClickHouse, Doris, StarRocks or similar systems
- Experience working with multi-terabyte or petabyte-scale analytical systems.
- Expert knowledge of structured query language (SQL) and relational algebra
- Ability to analyze query execution plans and optimize large-scale analytical workloads.
- Experience designing and implementing ETL/ELT workflows, including data transformation frameworks such as dbt and orchestration platforms like Apache Airflow or Prefect.
- Experience with software development lifecycle, Git workflows, CI/CD and automated testing of data products.
- Experience designing and operating event-driven data pipelines using Kafka and related ecosystem tools.
- Familiarity with big data stack (trino, spark, iceberg, s3)
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
At Exness, we know that changing jobs - and changing countries - is a big step. That’s why relocation with Exness is different. We make it smooth, supported, and truly life-changing.
What your journey looks like
- Intro call with Recruiter (30 minutes)
- English check (if needed)
- Tech interview (90 minutes)
- Live-coding (90 minutes)
- Behavioural interview (60 minutes)
What it's like here
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Sounds like you? Apply.
Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.
At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.
