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⟢ 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