As an experienced Data Engineer at Exness in Limassol, Cyprus, you will play a critical role in the Technology department, focusing on developing the data platform through assembly of complex datasets and data warehousing processes.
Assemble large, complex datasets that meet both functional and non-functional business requirements, preparing datasets from various sources for analysis and decision-making.
Oversee the data warehousing process, implementing and supporting data model changes, and developing new integrations and data marts.
Enhance the company's internal data platform by identifying current issues, proposing new features, and gathering feedback from team members.
Improve data reliability, efficiency, and quality by analyzing existing processes and identifying areas for enhancement.
Accurately describe entities and lineage in the data catalog, writing clear documentation that aids in understanding data flows and dependencies.
Effectively communicate and collaborate with team members and stakeholders, leveraging problem-solving skills and adapting to changes.
Contribute to onboarding and mentoring less experienced engineers.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
5+ years 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)
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Denidel's HR team submits and tracks the application on your behalf.
