⟢ ABOUT COMPANY:
We partner with a fast-scaling tech company operating at the crossroads of FinTech, iGaming, and Digital Marketing. With 20+ live products spanning markets from
South America to the Gulf, this is a team that builds things that ship — fast and globally.
Based in
Dubai with a multicultural workforce of 16+ nationalities, the environment is high-growth, internationally minded, and deliberately built for people who want ownership over their work.
⟢ WHAT YOU'LL OWN:
- Infrastructure & Pipelines
- Design, build, and operate scalable data pipelines across cloud and on-premise environments (AWS, GCP, Azure)
- Develop and manage data storage systems — warehouses, data lakes, and distributed databases
- Optimize data workflows for performance, scalability, and fault tolerance
- Integration & Processing
- Ingest, transform, and consolidate data from diverse sources: databases, APIs, streaming platforms, flat files
- Implement high-volume ETL/ELT pipelines supporting both real-time and batch processing needs
- Apply rigorous data validation and transformation rules to guarantee consistency and reliability
- Quality, Governance & Compliance
- Embed data governance practices including metadata management, lineage tracking, and lifecycle policies
- Ensure all data handling meets security, privacy, and regulatory requirements
- Proactively monitor and improve data quality, availability, and integrity
- Collaboration & Continuous Improvement
- Work closely with data scientists, ML engineers, and product teams to deliver clean, reliable datasets
- Enable self-service analytics across the organization
- Drive improvements in pipeline automation, monitoring, and orchestration — and share that knowledge with the team
⟢ WHAT WE'RE LOOKING FOR:
- Degree in Computer Science, Data Engineering, Software Engineering, or equivalent; Master's is a plus
- 5+ years of professional experience in data engineering or backend data-intensive systems
- Proven track record designing and operating scalable data pipelines on cloud or hybrid platforms
- Hands-on experience with distributed processing frameworks: Apache Spark, Hadoop, or Flink
- Strong expertise in SQL & NoSQL databases and data warehousing (Redshift, BigQuery, Snowflake)
- Working knowledge of CI/CD practices and modern DevOps tooling
- Proficient in Python, SQL, and Bash scripting
- Deep understanding of ETL/ELT patterns, data modeling, and API-based data integration
- Bonus: experience with streaming platforms (Kafka, Kinesis), MLOps, or distributed computing at scale
⟢ BENEFITS & PERKS:
- Official employment in compliance with UAE labor law
- Partial coverage for breakfast and lunch
- Relocation package, including flight tickets and 4-8 weeks of accommodation in a company apartment
- Home visit benefit 4 flight tickets/year to reunite with your family
- Hybrid working & flexible hours
- Annual fitness budget for employees
- Multinational team with members from 16 countries, diverse yet supportive
⟢ Recruitment Process:
- HR Interview
- Technical Interview
- Background Check
- Offer
