Data Engineer

Supertech Group; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology solutions provider is looking for a seasoned Data Engineer to architect robust data integration pipelines and develop complex ETL processes. The ideal candidate will have 5-6 years of experience in a data-driven organization, strong skills in Python/Java, and familiarity with cloud platforms like AWS or Google Cloud. This position offers an opportunity to lead data infrastructure initiatives and implement best practices in data governance and quality management.

Qualifications

• 5-6 years of experience as a Data Engineer or in a related role.
• Proficient in designing and implementing data pipelines.
• Strong experience managing data infrastructure.
• Expertise in data modeling and quality management.
• Familiarity with cloud platforms and DevOps practices.

Responsibilities

• Architect and implement robust data integration pipelines.
• Design and develop complex ETL processes.
• Maintain data ingestion and processing solutions.
• Ensure data infrastructure reliability and security.
• Collaborate on data governance policies.

Skills

Data integration and ETL development

Data infrastructure management

Data governance and metadata management

Problem-solving skills

Programming in Python or Java

SQL proficiency

Collaboration with cross-functional teams

Strong communication skills

Tools

Apache Airflow

Airbyte

Elasticsearch

Google BigQuery

MongoDB

Tableau

Qlik

AWS

Google Cloud

Job description

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Key Responsibilities:

• Data Integration and ETL Development: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, flat files) into a centralized data platform.
• Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
• Optimize data transformation workflows to improve performance and scalability.
• Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
• Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
• Data Governance and Metadata Management: Collaborate with the data governance team to establish data policies, standards, and procedures.
• Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.
• Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.

Requirements

• 5-6 years of experience as a Data Engineer or in a related role within a data-driven organization.
• Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, Airbyte, or cloud-based data integration services.
• Strong experience in managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g., Elasticsearch, Google BigQuery, MongoDB).
• Expertise in data modeling, data quality management, and metadata management.
• Proficient in programming languages such as Python or Java, and experienced with SQL.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) and DevOps practices.
• Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
• Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

Preferred Qualifications:

• Familiarity with data visualization and business intelligence tools (e.g., Tableau, Qlik, etc.).
• Knowledge of machine learning and artificial intelligence concepts and their applications in data initiatives.
• Project management experience and the ability to lead data infrastructure projects.
• If you are a seasoned Data Engineer passionate about building scalable and robust data solutions, we encourage you to apply for this exciting opportunity.