Опубликовано 29 ноября 2025 г.
Data Engineer
в офис
- 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 DWH design methodologies
Experience with column and MPP databases like Vertica, ClickHouse and similar
Experience with relational database 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 naturalisation process for relocated employees
What your journey looks like
Intro call with Recruiter (30 minutes)
English check (for non-native English speakers)
Tech interview (90 minutes)
Test Task
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.
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.
Exness
Кипр