6 Data Engineering jobs in Bahrain

Our client is thrilled to offer a comprehensive Graduate Programme in Data Engineering, designed for ambitious and motivated recent graduates eager to launch their careers in a fully remote setting. This program provides an unparalleled opportunity to gain hands-on experience and develop critical skills in building and managing robust data infrastructure. You will work alongside experienced data engineers, contributing to projects that involve designing, developing, and optimizing data pipelines, data warehouses, and data lakes. The program focuses on building a strong foundation in data management, data governance, and data quality principles.

As a Graduate Data Engineer, you will be involved in extracting, transforming, and loading (ETL) data from various sources, ensuring data integrity and accessibility for analytical purposes. You will learn to utilize cloud-based data platforms and tools, gaining practical experience with technologies such as SQL, Python, and distributed computing frameworks. The program includes structured training modules, mentorship from senior professionals, and exposure to real-world data challenges within the company's operations. You will participate in team meetings, contribute to problem-solving sessions, and develop an understanding of the broader data ecosystem. The goal is to equip you with the technical proficiency and problem-solving mindset required to excel in a data engineering role.

We are seeking individuals who have recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Technology, or a closely related quantitative field. A strong academic record, a passion for data, and a demonstrated ability to learn quickly are essential. While prior professional experience is not required, internships or relevant academic projects in data-related fields are a plus. Familiarity with programming languages such as Python and SQL is beneficial. Excellent analytical and problem-solving skills, along with strong communication and teamwork abilities, are highly valued. This fully remote internship offers a unique pathway into a high-demand field, providing comprehensive training and the chance to make meaningful contributions from day one. Join us and build the future of data. Tubli, Capital, BH .

Our client is looking for a seasoned Senior Python Developer with a specialization in Data Engineering to join their fully remote engineering team. This role is pivotal in building and maintaining robust data pipelines and infrastructure that power our data-driven decision-making. You will be responsible for designing, developing, and optimizing large-scale data processing systems, implementing ETL/ELT processes, and ensuring data quality and integrity. Your expertise will be crucial in leveraging Python and its data-centric libraries (e.g., Pandas, NumPy, Spark) to build efficient and scalable data solutions. This role involves working with cloud platforms (AWS, Azure, or GCP), database technologies (SQL, NoSQL), and data warehousing concepts. The ideal candidate will possess extensive experience in Python development, a deep understanding of data engineering principles, and a proven track record of building and deploying complex data pipelines. Experience with big data technologies, distributed computing frameworks, and data modeling is essential. Strong analytical and problem-solving skills are required to troubleshoot data-related issues and optimize performance. Excellent communication and collaboration skills are vital for working effectively within a distributed team. A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, coupled with a minimum of 7 years of experience in software development with a strong focus on data engineering, is required. If you are a highly skilled Python developer passionate about data and looking for a challenging remote opportunity to make a significant impact, we invite you to apply.

Our client is looking for an innovative and highly technical AI Solutions Architect to design and implement cutting-edge Artificial Intelligence and Machine Learning solutions. This role is central to defining our client's AI strategy and ensuring the successful deployment of intelligent systems that drive business value. You will be responsible for architecting end-to-end AI/ML solutions, encompassing data pipelines, model development, training, deployment, and monitoring. The ideal candidate will have a profound understanding of various ML algorithms, deep learning frameworks, and big data technologies, coupled with hands-on experience in building scalable and robust AI systems. Responsibilities include collaborating with business stakeholders to understand their needs and translate them into technical AI requirements, designing robust data architectures, and selecting appropriate AI/ML tools and platforms. You will also guide data engineers and ML engineers throughout the development and deployment lifecycle, ensuring best practices in MLOps, model governance, and performance optimization. A key aspect of this role involves staying abreast of the rapidly evolving AI landscape, identifying emerging trends and technologies, and evaluating their applicability to our client's business challenges. Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google AI Platform) and a strong command of programming languages like Python are essential. We are seeking a candidate with exceptional analytical, problem-solving, and communication skills, who can articulate complex technical concepts to both technical and non-technical audiences. This position requires a strategic thinker who can balance innovation with practical implementation and deliver tangible business outcomes. While this role requires an on-site presence in our Sitra office to foster close collaboration with engineering teams and business leaders, it offers the chance to work on transformative AI projects that will shape the future of our client's operations. You will play a pivotal role in architecting solutions that enhance efficiency, drive innovation, and unlock new opportunities. The ability to lead technical discussions, influence architectural decisions, and mentor junior team members will be critical to your success. This is an unparalleled opportunity to make a significant impact in the field of AI and contribute to groundbreaking technological advancements.
Responsibilities:

• Design and architect end-to-end AI/ML solutions.
• Define AI strategies and roadmaps aligned with business objectives.
• Develop data pipelines for AI/ML model training and deployment.
• Select and configure appropriate AI/ML tools, frameworks, and platforms.
• Guide data engineers and ML engineers in solution development.
• Ensure scalability, performance, and security of AI solutions.
• Collaborate with stakeholders to gather requirements and define use cases.
• Oversee the deployment, monitoring, and maintenance of AI models.
• Evaluate and integrate emerging AI technologies.
• Provide technical leadership and mentorship to AI teams.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of experience in AI/ML development and data science.
• Proven experience in architecting and deploying complex AI/ML solutions.
• Expertise in machine learning algorithms, deep learning frameworks, and statistical modeling.
• Strong knowledge of big data technologies and cloud AI platforms (AWS, Azure, GCP).
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication, presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Experience with MLOps and productionizing AI models.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.
As an Engineering Operations Engineer, you will operate and maintain AWS DCs' world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.
If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.
Key job responsibilities
SAFETY
- Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE
- You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS's), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
- Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
- Troubleshoot facility and rack-level events within internal SLAs
- Perform root cause analysis of equipment failures
- Drive innovation while reducing operational costs in the facilities
A day in the life
- Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
- Supervise contractors who perform servicing or preventive maintenance
- Perform the following tasks, with or without reasonable accommodation:
- Occasionally Move objects/material (weight limits in accordance with regulations)
- Work in outdoor weather conditions.
- Work in noisy environments
- Work at heights and from ladders
About the team
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
Basic Qualifications
- Bachelor's degree in Electrical/Mechanical engineering, Instrumentation and Control, project management or similar technical focus
- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
- Knowledge of key electrical competencies and theory
Preferred Qualifications
- Familiar with Building Management System (BMS) and Electrical Power Monitoring System (EPMS) control systems and data collection/trending
- Experience working in a data center environment
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.