Data Engineer
SiGMA World
full-time
Posted on:
Location Type: Hybrid
Location: Limassol • Cyprus
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About the role
- Designs, builds, and maintains scalable ETL/ELT pipelines to support analytics, reporting, and machine learning workloads.
- Integrates data from event platforms, CRM systems, mobile apps, exhibitor tools, and third‑party iGaming systems.
- Develops and maintain data models, schemas, and storage solutions that support business intelligence and AI use cases.
- Introduces AI‑assisted data engineering tools, such as automated pipeline optimisation, intelligent anomaly detection, AI‑driven data quality checks.
- Partners with product, engineering, marketing, and event operations teams to understand data needs and deliver scalable solutions.
Requirements
- Strong proficiency in Python, SQL, and data engineering frameworks
- Experience with cloud data platforms (e.g., AWS, Azure, GCP)
- Knowledge of streaming technologies (e.g., Kafka, Kinesis, Pub/Sub)
- Familiarity with data modelling, warehousing, and distributed systems
- Understanding of AI/ML data requirements and MLOps concepts
- 5+ years of technical experience in data engineering, data architecture, or related fields
- 1-2+ years of management or mentorship experience
- Educated to degree level in a numerate or technical discipline, Masters preferred.
- Background working with event data, digital engagement data, or iGaming systems
Benefits
- Free iGaming Academy access -Learn the ins and outs of the industry with access to courses.
- Travel perks - Visit our international offices and attend industry events worldwide.
- Performance rewards - High performers are recognized and fast-tracked with annual reviews and bi-yearly performance checks ins.
- Interest-free car loan after probation (T&Cs apply)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata engineering frameworkscloud data platformsstreaming technologiesdata modellingdata warehousingdistributed systemsAI/ML data requirementsMLOps
Soft Skills
management experiencementorship experiencecollaborationcommunication