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 YOULL 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 WERE LOOKING FOR:
- Degree in Computer Science Data Engineering Software Engineering or equivalent; Masters 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
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 ...
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 YOULL 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 WERE LOOKING FOR:
- Degree in Computer Science Data Engineering Software Engineering or equivalent; Masters 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
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