Big Data Engineer (Big Data and AI Engineering)

Why this role matters

A Big Data Engineer is responsible for building, operating, and evolving scalable data platform services that enable data-driven decision-making across the organization. The role focuses on designing and maintaining Data Lake and Big Data processing environments, developing reliable data pipelines and transformation tools, and ensuring high standards of data quality, security, and operational efficiency. The engineer actively contributes to data platform architecture, automation, and continuous improvement of data processing capabilities.

The role is based in our office in Limassol, 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

• Design, implement, and operate Data Platform services to support data-driven decision-making.
• Own the implementation and operation of the Data Lake environment (S3 / MinIO, Spark, Trino, K8S), ensuring scalability, reliability, and performance.
• Maintain and operate Spark and Trino environments across Kubernetes, Minio, or standalone deployments.
• Ensure platform stability, performance tuning, capacity planning, and efficient resource utilization in production environments.
• Develop, maintain, and enrich environments for creating data assets, including ETL / ELT pipelines, data transformations, data applications and DDLs.
• Build and maintain data transformation tools that support structured, scalable, and reusable data processing.
• Design and develop applications that enable optimal manipulation, processing, and consumption of large-scale datasets.
• Apply best practices in Python, Scala, or Java to support efficient and maintainable data engineering solutions.
• Create, implement, and monitor compliance with data security policies, code standards, and naming conventions.
• Ensure data platform components meet internal governance, quality, and compliance requirements.
• Actively participate in Data Platform architecture design and evolution.
• Recommend and implement improvements to data reliability, efficiency, performance, and overall data quality.
• Collaborate closely with data engineers, analysts, architects, and other stakeholders to deliver robust data solutions.
• Apply CI/CD principles in data processing workflows to improve automation, reliability, and delivery speed.

Who we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• 5+ years of experience in Data Engineering, Big Data processing, or Data Platform development.
• Strong knowledge of architecture, including deployment and maintenance on MinIo, Kubernetes, or standalone environments.
• Experience with Big Data processing and Data Lake architectures.
• Hands-on experience building ETL / ELT pipelines from multiple data sources.
• Strong programming skills in Python and Go for data engineering tasks.
• Expert knowledge of SQL and experience working with large datasets.
• Experience with relational databases such as Vertica, PostgreSQL, ClickHouse, or similar systems.
• Understanding of CI/CD principles applied to data processing and data platform environments.

Nice to Have:

• Practical experience with Apache Spark for both batch and real-time data processing.
• Knowledge of stream-processing systems such as Flink or Spark Streaming.
• Experience with cloud-native data platforms or multi-cloud data architectures.

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 with Recruiter (30 minutes)
2. Tech interview (90 minutes)
3. Live-coding (90 minutes)
4. Behavioural interview (60 minutes)

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