Job Description

Job Title: Data Engineer (Python, SQL, dbt)
Application Deadline: Jan 15, 2025
Job Location: Yemen Kuwait Bank, Sana’a, Yemen
Type: Full-time

About Us

Yemen Kuwait Bank (YKB), established in 1977, stands as one of Yemen’s premier financial institutions, catering to Retail, MSMEs, and Corporate customers with a diverse range of products and services. YKB is dedicated to innovation, offering advanced digital services such as digital account opening, e-wallets, virtual card app, banking chatbot, mobile banking, and SuperApp. Through seamless, convenient, and secure banking experiences, we are setting new standards of excellence in the national financial services industry.
Driven by our unwavering commitment to innovation, we are building a top-tier Data and AI team. This team is at the forefront of disruption, providing specialized analytics capabilities to the bank.
Your Career, Our Commitment: At Yemen Kuwait Bank, we believe that a fulfilling career is more than just a job—it's a journey towards personal and professional growth. Our mission is to make this journey as smooth and rewarding as possible, providing a supportive and dynamic work environment where you can thrive.

Job Description

If you are an experienced Data Engineer and you want to extend your expertise, we invite you to join YKB Data AI to work as part of the data engineering team. You will work on designing, developing, and maintaining robust data pipelines using cutting-edge technologies.
As part of the Data Engineering team, you'll build data products that provide easy access to data across the bank, enhancing our analytics landscape. You'll quickly learn and design new technologies, using your creativity to support data science, analytics, and business intelligence. Agility, proficiency, and discipline are key. Ideal candidates have a deep understanding of Python, database design, data modeling, and excellent analytical, organizational, and communication skills. A passion for operational excellence and continuous learning is essential.

Responsibilities

• Partner with business stakeholders to understand their needs and translate them into technical requirements for the data engineering team.
• Perform data and system analysis, to determine value and recommend data to include in analytical processes.
• Evaluate and implement best practices for data governance, security, and compliance.
• Design, build, and test data products based on feeds from multiple systems, using dbt and Python for efficient data transformation and analysis.
• Design, develop, and deploy scalable data pipelines for acquiring, storing, and transforming large volumes of data.
• Create and maintain documentation for data models, including entity-relationship diagrams (ERDs), data dictionaries, and metadata definitions.
• Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data across the organization.
• Assist in the operationalization of deployed data solutions, assessment of defects and incidents related to data pipelines and data products and correct as appropriate.
• Execute & streamline DataOps processes, including user stories, acceptance criteria, bug and data matrices, and data movement, transformation code, and data components tests.
• Interact and collaborate with team and business users to support delivery and educate end users on data products/analytic environment.
• Perform other duties as assigned.

Qualifications

Who we're searching for

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or closely related field of study.
• Experience: 2-4+ years of experience in data engineering roles, with a focus on building scalable data solutions. Experience with dbt is a plus
• Skills: Advanced SQL writing abilities. Proficiency in programming languages such as Python, Java, or Scala for data processing and scripting. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into data models.
• Attributes: Ability to embrace new technologies and learn new data engineering practices.
• Language: Advanced proficiency in English.
• Preferred Certifications: Professional certificates such as but not limited to Azure Data Engineer Associate, Google Certified Data Engineer, or AWS Certified Data Engineer.

Why Explore a Career at YKB Data AI 

This section should have been entitled - Why Explore a Challenge at YKB Data AI. What?
YKB Data & AI is not for everyone. This is the strongest differentiator. How?
Skills are secondary for us. We believe in intentions, not capabilities. Why?
If you don’t understand or resonate with the above three points, we encourage you not to apply. You won’t thrive here.
Most candidates look for a job or a career, but only a rare 2% see it as a challenge that fulfills their soul. We look for these 2%. Period.
If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organizations which can really meet your expectations. We can! 
Experience the Real Work with Real People for a Real Purpose. 

1- Leading Platforms: Work with cutting-edge data and AI platforms on groundbreaking projects.
2- True Startup Culture: It’s not about bean bags or flexible hours; it’s about the spirit of innovation and creation.
3- Top Talent: Work with brilliant, like-minded individuals.
4- Empowerment: You’ll feel empowered every day, fostering your entrepreneurial spirit.
5- Greatest Work of Your Life: We promise this will be the most fulfilling work you’ll ever do.

Join us if you’re ready to push boundaries and make a real impact. The world is small for those who dare to dream big.