As a Senior Data Engineer at the company, you will be responsible for building and maintaining the infrastructure that supports data collection, processing, and storage. You will work closely with data scientists, analysts, and other stakeholders to ensure that data systems are reliable, scalable, and secure. Your contributions will be crucial in enabling data-driven decision-making across the organization.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
This key technical role focuses on developing and optimizing the company's data infrastructure, which involves designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to support various data initiatives.
Responsibilities
- Data Pipeline Architecture and Development: Design, construct, install, test, and maintain highly scalable data pipelines with a focus on machine learning models and analytics.
- Data Integration: Work closely with data scientists, ML engineers, and stakeholders to ensure that data is accessible, consistent, and reliable for ongoing projects.
- API and Data Services: Develop and maintain APIs for data access and manipulation, and integrate with external data services as needed.
- Data Storage: Manage and optimize data storage solutions for both structured and unstructured data, including relational databases as well as Text, Image, Audio, and Video data.
- Data Quality and Governance: Implement processes to monitor data quality and ensure production data is always accurate and available for key stakeholders.
- Collaboration and Support: Collaborate with ML engineers to address data-related technical issues and provide architectural guidance and solutions.
- Security and Compliance: Ensure compliance with data security and privacy policies.
- Documentation: Maintain clear and up-to-date documentation, including data dictionaries, metadata, and architectural diagrams.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; or equivalent work experience.
- 7+ years of experience in a Data Engineering role.
- Proficiency in programming languages like Python, Java, and Scala while managing large-scale data (Terabyte to Petabyte).
- Hands-on experience with big data technologies like Hadoop, Spark, and Flink.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of data warehousing concepts, ETL processes, and data modeling.
- Experience with API development and integration with data services.
- Experience with cloud platforms like Azure.
- Knowledge in DevOps, CI/CD methods, and containerization technologies like Docker or Kubernetes.
- Experience with real-time/streaming data processing.
Working Conditions
- Join a fast-paced environment that encourages initiative and collaboration with talented peers from diverse backgrounds.
- Enjoy a recognized and rewarding career path with support to operate at peak performance.
- Receive an attractive remuneration package that includes healthcare, education support for dependents, leave benefits, and more.
