57 Data Driven Products jobs in Dubai

As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Data Architecture & Strategy :

• Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
• Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
• Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
• Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
• Build and maintain ETL / ELT data pipelines for operational, analytical, and compliance-related data.
• Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
• Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
• Oversee database design and optimization for transactional and analytical workloads (e.g., Aurora, Redis, Kafka).
• Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

Compliance, Security & Risk Management :

• Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements (e.g., FATF, AML, GDPR, MiCA).
• Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
• Support fraud detection and risk monitoring through data analytics and alerting frameworks.

Leadership & Team Management :

• Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
• Drive best practices in data engineering, DevOps for data, and CI / CD automation for analytics infrastructure.
• Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

Technical competencies and skills :

• Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
• Strong proficiency in SQL, Python, or Scala for data engineering.
• Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
• Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
• Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
• Strong understanding of database design, indexing strategies, and query optimization.
• Experience implementing data governance, lineage, and cataloging tools.
• Familiarity with blockchain / crypto data structures and APIs is a plus.

Leadership & Strategic Skills :

• Experience leading and mentoring a team of data engineers.
• Ability to design data strategies that align with business goals and regulatory requirements.
• Strong cross-functional collaboration skills with compliance, risk, and technology teams.
• Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

Industry & Compliance Knowledge :

• Experience in regulated financial markets, fintech, or crypto is highly preferred.
• Familiarity with financial data standards, KYC / AML reporting, and regulatory requirements related to data handling.

Preferred Qualifications :

• Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
• Certifications in cloud data engineering (AWS / GCP / Azure), data governance, or security are a plus.
• Experience working in a crypto exchange, trading platform, or high-frequency trading environment is an advantage.

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!

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As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Key Responsibilities

Data Architecture & Strategy :

• Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
• Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
• Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
• Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.

Data Engineering & Infrastructure :

Compliance, Security & Risk Management :

Leadership & Team Management :

Technical competencies and skills :

Leadership & Strategic Skills :

Industry & Compliance Knowledge :

Preferred Qualifications :

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!

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As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange's operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Data Architecture & Strategy :

1. Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
2. Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
3. Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
4. Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
5. Build and maintain ETL / ELT data pipelines for operational, analytical, and compliance-related data.
6. Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
7. Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
8. Oversee database design and optimization for transactional and analytical workloads (e.g., Aurora, Redis, Kafka).
9. Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

Compliance, Security & Risk Management :

1. Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements (e.g., FATF, AML, GDPR, MiCA).
2. Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
3. Support fraud detection and risk monitoring through data analytics and alerting frameworks.

Leadership & Team Management :

1. Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
2. Drive best practices in data engineering, DevOps for data, and CI / CD automation for analytics infrastructure.
3. Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

Technical competencies and skills :

1. Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
2. Strong proficiency in SQL, Python, or Scala for data engineering.
3. Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
4. Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
5. Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
6. Strong understanding of database design, indexing strategies, and query optimization.
7. Experience implementing data governance, lineage, and cataloging tools.
8. Familiarity with blockchain / crypto data structures and APIs is a plus.

Leadership & Strategic Skills :

1. Experience leading and mentoring a team of data engineers.
2. Ability to design data strategies that align with business goals and regulatory requirements.
3. Strong cross-functional collaboration skills with compliance, risk, and technology teams.
4. Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

Industry & Compliance Knowledge :

1. Experience in regulated financial markets, fintech, or crypto is highly preferred.
2. Familiarity with financial data standards, KYC / AML reporting, and regulatory requirements related to data handling.

Preferred Qualifications :

1. Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
2. Certifications in cloud data engineering (AWS / GCP / Azure), data governance, or security are a plus.
3. Experience working in a crypto exchange, trading platform, or high-frequency trading environment is an advantage.

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard

At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern you will gain hands-on career specific experiences to maximize your real-world potential.

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office at minimum three times per week or other frequency dictated by the business and two times per week remote.

Your Role:

As a Data Engineering and Analysis Intern, you’ll have the opportunity to gain hands-on experience in data-driven decision-making and contribute to our global sales operations. You will collaborate with senior team members, work on data collection, analysis, and reporting, and help optimize business processes using data science techniques.

What You'll Do:

• Assist in gathering and preparing data from various sources
• Clean, transform, and analyze data to ensure quality and accuracy
• Support data analysis, hypothesis testing, and exploratory data analysis (EDA)
• Help build and validate predictive models using basic machine learning techniques
• Generate reports and create data visualizations to highlight business insights
• Collaborate with cross-functional teams (Sales, Finance, CRM, Omnichannel) to support data-driven solutions
• Contribute to business performance tracking, including dashboards and KPIs
• Participate in training and mentorship opportunities to enhance your technical skills

Your Skills & Abilities:

• Currently undergoing bachelor's or master's degree in data science, Data Engineering, Business Analytics, or a related field
• Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g., SQL, Excel)
• Basic knowledge of data visualization tools (Power BI, Tableau) is a plus
• Completed coursework in AI, machine learning, deep learning, and natural language processing (NLP)
• Worked on academic projects involving generative models (like GPT-3, GANs) or reinforcement learning

What We Offer:

• Mentorship from experienced professionals in business and data
• Exposure to real-world data challenges and solutions
• Opportunity to contribute to meaningful projects that impact business outcomes

In this pivotal role, you'll embark on an 18-month journey that empowers, challenges, and shapes you into a future leader.

You will explore the business through three tailored 3-month rotations, gaining multi-dimensional exposure and practical insights. In Phase 2, you'll dive deeper into a final 9-month strategic assignment, driving meaningful impact and solving real-world challenges.

This track immerses you in the critical domain of data management and engineering. Through rotations in Data Engineering, Data Products, and Data Integrity, you will develop expertise in designing, building, and maintaining robust data infrastructures and solutions.

• Key Requirements:
• Academic background in IT, Information Security, or Data Engineering
• Strong analytical and technical problem-solving skills
• Knowledge of data architecture, pipelines, and governance
• Attention to detail and commitment to data quality

Upon successful completion of the program, you'll be offered a permanent role at the next career level – the next phase of our Future Leader Journey.

• Enriching, real-world assignments
• Leadership exposure and mentorship
• Development opportunities tailored to your journey
• Access to a competitive benefits package including remote work flexibility and exclusive employee discounts

Job Summary

As the chief architect of data engineering, you will be responsible for designing and implementing a robust and scalable data architecture that supports operations, analytics, and regulatory reporting requirements.

You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements.

• Define and Own Data Architecture Strategy : Design and implement a data architecture strategy that ensures scalability, security, and regulatory compliance.
• Design and Implement Data Modeling, Governance, and Security Frameworks : Develop data modeling, governance, and security frameworks to meet financial and regulatory requirements.
• Architect Real-Time and Batch Processing Data Pipelines : Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
• Optimize Data Storage and Retrieval : Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
• Build and Maintain ETL/ELT Data Pipelines : Build and maintain ETL/ELT data pipelines for operational, analytical, and compliance-related data.
• Ensure High Data Quality and Availability : Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
• Manage and Enhance Data Warehouses, Data Lakes, and Streaming Platforms : Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
• Oversee Database Design and Optimization : Oversee database design and optimization for transactional and analytical workloads.
• Implement Data Lineage, Metadata Management, and Access Control Mechanisms : Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

• Work Closely with Compliance and Risk Teams : Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements.
• Implement Encryption, Anonymization, and Access Control Policies : Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
• Support Fraud Detection and Risk Monitoring : Support fraud detection and risk monitoring through data analytics and alerting frameworks.

• Lead, Mentor, and Grow a Team of Data Engineers : Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
• Drive Best Practices in Data Engineering : Drive best practices in data engineering, DevOps for data, and CI/CD automation for analytics infrastructure.
• Collaborate with Cross-Functional Teams : Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

• Proven Experience in Data Architecture and Engineering : Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
• Strong Proficiency in SQL, Python, or Scala : Strong proficiency in SQL, Python, or Scala for data engineering.
• Experience with Cloud-Based Data Platforms and Orchestration Tools : Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
• Hands-On Experience with Real-Time Data Processing : Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
• Expertise in Data Warehousing Solutions : Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
• Strong Understanding of Database Design, Indexing Strategies, and Query Optimization : Strong understanding of database design, indexing strategies, and query optimization.
• Experience Implementing Data Governance, Lineage, and Cataloging Tools : Experience implementing data governance, lineage, and cataloging tools.
• Familiarity with Blockchain/Crypto Data Structures and APIs : Familiarity with blockchain/crypto data structures and APIs is a plus.

• Experience Leading and Mentoring a Team of Data Engineers : Experience leading and mentoring a team of data engineers.
• Ability to Design Data Strategies that Align with Business Goals and Regulatory Requirements : Ability to design data strategies that align with business goals and regulatory requirements.
• Strong Cross-Functional Collaboration Skills : Strong cross-functional collaboration skills with compliance, risk, and technology teams.
• Ability to Work in a Fast-Paced, High-Growth Startup Environment : Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

• Experience in Regulated Financial Markets, Fintech, or Crypto : Experience in regulated financial markets, fintech, or crypto is highly preferred.
• Familiarity with Financial Data Standards, KYC/AML Reporting, and Regulatory Requirements : Familiarity with financial data standards, KYC/AML reporting, and regulatory requirements related to data handling.

Join to apply for the Manager of Data Engineering and Functional Consulting role at Dicetek LLC .

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• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Strong understanding of end-to-end data warehousing concepts, including data modeling, ETL/ELT, and data integration.
• Proficient in Azure Synapse, Databricks, Azure Data Factory, Snowflake, and Power BI for modern cloud-based data solutions.
• Skilled in handling structured, semi-structured (JSON, XML), and unstructured data across Azure and AWS platforms.
• Expertise in Power Query and Power M for advanced data transformation and reporting automation.
• Solid grasp of Agile methodologies, functional requirement gathering, and stakeholder communication.
• Familiar with metadata management, data lineage, and data quality principles to ensure trusted analytics.

Experience

• 10+ years of experience in designing, implementing, and optimizing end-to-end data warehouse solutions across cloud and on-premise ecosystems.
• Orchestrated enterprise DWH solutions using Azure Synapse, Databricks, and ADF, integrating structured and semi-structured data sources while ensuring lineage, auditability, and performance at scale.
• Translated business needs into scalable dimensional models and Power BI solutions, leveraging Power Query (M) scripting and DAX for self-service analytics.
• Designed and governed hybrid data pipelines across Azure and AWS, ensuring data consistency, compliance, and traceability from ingestion to visualization.
• Collaborated with stakeholders and engineering teams to define KPIs, automate reconciliations, and embed validation rules across ETL and reporting layers.
• Led multi-cloud integration of systems into a unified analytics layer, optimizing transformations with Databricks notebooks, ADF workflows, and parameterized datasets.
• Enabled real-time insights by architecting incremental refresh in Power BI and optimizing semantic models with measures, security, and models.
• Implemented data observability frameworks to proactively detect anomalies and ensure SLA adherence across reporting layers.

• Not Applicable

• Contract

• Engineering and Information Technology

• IT Services and IT Consulting

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Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

What You'll Do

• Build a world-class team. Push your team to hone their craft, communicate expectations clearly, and build high trust through regular feedback.
• Drive world-class results. Prioritize mission-critical work, set aggressive timelines, and ensure the best ideas win by fostering an environment where all ideas are challenged.
• Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
• Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
• Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
• Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.

What You’ll Need

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
• Experience managing a team for more than 2+ years.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
• Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
• Familiarity with data integration and workflow management tools such as Apache Airflow
• Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
• Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

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Job ID: 2789095 | Amazon Data Services France SAS

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. We are currently seeking for an Engineering Operations Technician to serve as a technical resource to support Amazon within our mission critical Data Center. The position will help ensure overall availability and reliability in all electrical and mechanical infrastructure within the data center environment in a specific location. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The role has requirements as being self-managed person who takes the initiative and provides effective solution for complex technical problems. The successful candidates will be expected to have direct and immediate impact on improving the resiliency, efficiency and capacities of our facilities to help offer Amazon’ customers better value with maintaining, operating and troubleshooting, Data Center Operation’s Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors. Tasks:
· Operate and maintain all mechanical, electrical and HVAC equipment within the Data Center/Facility.
· Supervise contractors who perform servicing or preventive maintenance
· Develop work plan for emergency repair of critical assets.
· Operates under minimal supervision.
· Work on-call and a rotating schedule as needed.
· Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization
· Perform shift duty as required.
· Fully comply with all physical security procedures and policies.
· Ensure all safety procedures are adhered to while performing work.
· Perform rack power installs, rack PDU, and rack ATS replacements.
· Verification on electrical/cooling capacity before new rack install.
· Create and Close Work Orders with appropriate data, to include labor hours, equipment maintenance, and parts used into asset management system.
· Maintain changes in state in Mission Critical infrastructure in support of corrective/ preventive maintenance.
· Testing: Test quality, performance, safety, and reliability of products, equipment, processes
· To be a front-line responder for hands-on electrical and mechanical equipment troubleshooting. This equipment includes, but is not limited to, AHU’s, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD’s, and building automation systems. The successful candidate show be able to demonstrate the following competencies / behaviours:
- An ability to solve problems through root-cause elimination, stepping back to understand the broader context.
- Ensure all safety procedures are adhered to while performing work.
- An aptitude for trouble-shooting and problem-solving complex issue
- An ability to follow procedures system documentation and track issues through appropriate entries into a Trouble Ticket system.
- Demonstrate good judgment and instincts in decision making.
- Prioritize appropriately in a complex, fast-paced environment.
- Willingness to take ownership for technical issues.
- Utilize EPMS and BMS to manage building workflows. Physical Requirements:
· Work on a 24x7 schedule (where applicable)
· Work at heights and from ladders.
· Perform physical tasks during the shift and coordinate body movements when using tools or equipment
· Work in a noisy environment with ear protection Key job responsibilities
· Setting and maintaining the highest standards for safety and actively promoting a world-class safety culture in all aspects of operational procedure.
· Driving continuous improvement efforts on infrastructure through standardization of procedures and policies, while delivering performance against agreed metrics.
· Enabling the operations organization to delivering 100% up-time on all customer supporting infrastructure.
· Collaborating effectively with internal & external stakeholders to deliver operational excellence for all AWS customers.
· Responsible for ensuring that the preventive maintenance of site-critical facility infrastructure is planned and executed to the highest standards, in accordance to AWS procedures.
· In charge of facility monitoring & supervision (via BMS, PMS, Walkthrough.etc.)
· Participation in the successful delivery of build-out and retrofit of Data Center infrastructure.
· Ensuring organizational capability to react & respond appropriately to any potential customer-impacting event on any component of electrical or mechanical infrastructure.
· Reviewing incident reports, documenting periodic trend summaries, and providing updates and recommended actions to management.
· Draft, update & maintain method statements, standard operating procedures, emergency response procedures, preventive maintenance programs, and all technical documentation pertaining to DCEO. About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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. BASIC QUALIFICATIONS

· 5+ years of experience in operations and on-call support for Data Center facilities / or Mission Critical Plants/ Production facilities.
· Good English communication skills.
· Demonstrate key electrical competencies (Practice & Theory) and knowledge of mechanical systems (Mechanical, HVAC systems, Controls). PREFERRED QUALIFICATIONS

· Familiar with BMS and EPMS control systems and data collection/trending
· Apprentice/trades certified or diploma in an Electrical field
· Data Center/ Manufacturing experience
· Bachelors/Masters degree in Electrical Engineering, Mechanical Engineering or relevant discipline. Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats. 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.