Engineering Remote Jobs in Riyadh

Join Tabby as a Data Engineer!
At Tabby, we are on a mission to create financial freedom for shoppers around the world through innovative payment solutions. As a Data Engineer in our Data Services Team, you will play a crucial role in developing our internal solutions, such as a Feature Store, and will also handle operational tasks.

Key Responsibilities:

• Develop Features store and other future data services.
• Develop EL/ELT/ETL pipelines.
• Integrate new tools for data processing and data storage.

Skills, Knowledge & Expertise:

• 35 years of experience as Data Engineer, ML Engineer, Backend Engineer.
• Experience in developing high-load and scalable data processing and storage systems.
• Good knowledge and background in event driving systems and streaming pipelines.
• Proficiency in Python and SQL along with best practices.
• Familiarity with tech stack including Airflow, Debezium, BigQuery/Clickhouse, PostgreSQL/CockroachDB, Docker, GitLab (CI/CD), GCP.
• Experience with REST API/GRPC API/Message brokers & Queues.

Bonus Skills:

• Golang development experience.
• Experience in modern systems of data storage: Relational, MPP, NoSQL.
• Experience on Google Cloud Platform.

Job Benefits:

• Relocation support for a smooth transition.
• Remote work flexibility.
• Choice of countries for registration (Armenia, Georgia, Serbia, Portugal, Spain).
• Tax compensation in Armenia and Georgia.
• Family relocation support.
• Coverage for flights, accommodation, and legal paperwork for new employees.
• Participation in the employee stock options program.
• Health insurance.

Join us to make your mark and grow in an inclusive and high-performing workplace!

Join Our Mission
At Calo, we are dedicated to making healthy living easier through innovative technology. As a Senior Data Engineer, you will be an integral part of our platform team, responsible for improving our data infrastructure and ensuring our products remain at the forefront of the tech industry.

Role Overview
In this role, you will design, build, and enhance the infrastructure for data processing. Your work will support various departments and contribute to our data initiatives. You'll also be documenting all models and solutions to ensure a smooth workflow.

Main Responsibilities

• Design, build, and improve the infrastructure for ingesting, storing, and transforming data.
• Design, build, and enhance dimensional models for our Data Warehouse and BI solutions.
• Collaborate with different departments to support their data initiatives.
• Document new and existing models, solutions, and implementations.

Qualifications

• 5+ years of hands-on professional experience in data engineering-related roles.
• Proven experience in building and maintaining data platforms from scratch.
• Familiarity with AWS services such as Redshift, Glue, Lambda, S3, Kinesis, and Athena.
• Experience with BI solutions.
• Advanced skills in Python and SQL.
• Experience with AI is an advantage.

Ideal Candidate Personality
We are looking for a strong communicator with a pleasant personality who can lead with empathy and patience.

Join Quant as a Data Engineer!
In an age of Big Data, our goal is to empower organizations in decision-making through data and science. As a Data Engineer, you will be essential in developing, maintaining, and optimizing data pipelines and infrastructure to support our analytics and data science initiatives.

Key Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines using SQL, Python, and cloud technologies.
• Support integration of multiple data sources into centralized systems.
• Perform data cleansing, transformation, and validation for data accuracy.
• Collaborate with data teams to ensure data availability.
• Monitor and improve existing ETL processes.
• Implement data models for reporting and analytics.
• Apply software engineering best practices.
• Maintain up-to-date technical documentation for data workflows.

Requirements:

• Proficient in Python for scripting and automation.
• Solid understanding of SQL and relational databases.
• Familiarity with ETL tools (*, Airflow, Alteryx).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling and visualization tools.
• Strong problem-solving skills and detail-oriented.
• Ability to collaborate in a multicultural environment.
• Bachelor’s degree in Computer Science or related field.
• Eagerness to learn and grow in a data-focused role.

Join Quant as a Data Engineer!
Are you passionate about data and eager to make an impact? At Quant, we are looking for a dedicated Data Engineer to develop and maintain efficient data pipelines and infrastructure supporting our analytics and business intelligence initiatives.

Key Responsibilities:

• Design, build, and maintain reliable data pipelines using SQL, Python, and cloud technologies.
• Integrate multiple data sources into centralized analytics systems.
• Perform data cleansing and validation to ensure accuracy.
• Collaborate with data scientists and analysts to ensure data availability for modeling.
• Monitor and optimize ETL processes for better performance and scalability.
• Assist in implementing data models for reporting and predictive analytics.
• Apply software engineering best practices in development and testing.
• Stay updated with new data tools and techniques.
• Document data workflows clearly and concisely.
• Troubleshoot and resolve data-related issues effectively.

Requirements:

• Proficient in Python for data processing.
• Strong understanding of SQL and relational databases.
• Familiar with ETL tools (Airflow, Alteryx, etc.).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling concepts.
• Knowledge of data visualization tools is a plus.
• Strong problem-solving skills and attention to detail.
• Team player in a multicultural environment.
• Bachelor’s degree in Computer Science or a related field.
• Eager to learn and grow in a data-focused role.