12 Data Engineering jobs in Qatar

Experience :

4-6yrs

Job description :

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

Responsibilities:

Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.

Write clean, high-performance, high-quality, maintainable code.

Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.

Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.

Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.

Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.

Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.

Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

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Experience : 5+ yrs

Job Description:

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

Responsibilities:

1. Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
2. Write clean, high-performance, high-quality, maintainable code.
3. Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
4. Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
5. Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
6. Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

1. Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
2. Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
3. Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

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Experience :

5+ yrs

Job Description:

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

Responsibilities:

Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.

Write clean, high-performance, high-quality, maintainable code.

Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.

Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.

Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.

Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.

Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.

Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

#J-18808-Ljbffr

Experience :5+ yrsJob Description:We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.Responsibilities:Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, Big Query, SQL) tuning opportunities that can be solved using machine learning and generative AI.Write clean, high-performance, high-quality, maintainable code.Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.Requirements:Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, Big Query, and Generative AI Applications.Deep understanding and experience in tuning Dataproc, Big Query, and Spark Applications.Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.#J-18808-Ljbffr

Join to apply for the Engineering Manager - Data Platform role at Canonical

1 month ago Be among the first 25 applicants

Join to apply for the Engineering Manager - Data Platform role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  
  

What we are looking for in you

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  
  

Additional Skills That You Might Also Bring

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Sign in to set job alerts for "Engineering Manager" roles. Software Engineering Manager - Sustaining Engineering Software Engineering Manager - Cross-platform C++ - Multipass Technical Manager - Automotive and Industrial Engineering Manager - Public Cloud, Python, Golang Software Engineering Manager - Cross-platform C++ - Multipass Software Engineering Manager - Cross-platform C++ - Multipass Software Engineering Manager, Ubuntu Gaming Software Engineering Manager - Desktop and Embedded Linux Optimisation Salesforce Engineering Manager, Commercial Systems Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon Software Engineering Manager - Ubuntu Linux Kernel Systems Integrations Engineering Manager Engineering Manager for IAM (Identity and Access Management) Linux Engineering Manager - Optimisation for Latest Hardware Linux Enablement - Software Engineering Manager Ubuntu Enablement - Software Engineering Manager

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Engineering Manager - Data Platform role at Canonical

1 month ago Be among the first 25 applicants

Join to apply for the Engineering Manager - Data Platform role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  
  

What we are looking for in you

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  
  

Additional Skills That You Might Also Bring

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Sign in to set job alerts for “Engineering Manager” roles. Software Engineering Manager - Sustaining Engineering Software Engineering Manager - Cross-platform C++ - Multipass Technical Manager - Automotive and Industrial Engineering Manager - Public Cloud, Python, Golang Software Engineering Manager - Cross-platform C++ - Multipass Software Engineering Manager - Cross-platform C++ - Multipass Software Engineering Manager, Ubuntu Gaming Software Engineering Manager - Desktop and Embedded Linux Optimisation Salesforce Engineering Manager, Commercial Systems Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon Software Engineering Manager - Ubuntu Linux Kernel Systems Integrations Engineering Manager Engineering Manager for IAM (Identity and Access Management) Linux Engineering Manager - Optimisation for Latest Hardware Linux Enablement - Software Engineering Manager Ubuntu Enablement - Software Engineering Manager

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Join to apply for the

Engineering Manager - Data Platform

role at

Canonical 1 month ago Be among the first 25 applicants Join to apply for the

Engineering Manager - Data Platform

role at

Canonical Get AI-powered advice on this job and more exclusive features. Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location:

This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

You will lead a team building scalable data solutions for Kubernetes and cloud machines You will hire, coach, mentor, provide feedback, and lead your team by example You will demonstrate sound engineering skill by directly contributing code when needed Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders Advocate modern, agile software development practices Develop and evangelize great engineering and organizational practices Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence Grow a healthy, collaborative engineering culture aligned with the company's values. Be an active part of the leadership team and collaborate with other leaders in the organization Work from home with global travel twice yearly, for internal events of one or two weeks duration

What we are looking for in you

A software engineering background, preferably with Python and Golang experience Experience running in production and at scale, preferably Big Data or MySQL Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success Proven ability to build high-quality, open-source software Proven to drive good engineering practices around performance and quality An open-minded attitude to new technologies and the drive to push the boundaries of what is possible The ambition to build products that improve how people operate software and infrastructure everywhere Love developing and growing people and have a track record of doing it Knowledgeable and passionate about software development

Additional Skills That You Might Also Bring

Specialist knowledge in one or more of Spark, Superset, MySQL, or similar Prior experience working with open source and a will to build products with the community

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

Fully remote working environment - we've been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at 'sprints' Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Sign in to set job alerts for “Engineering Manager” roles.

Software Engineering Manager - Sustaining Engineering

Software Engineering Manager - Cross-platform C++ - Multipass

Technical Manager - Automotive and Industrial

Engineering Manager - Public Cloud, Python, Golang

Software Engineering Manager - Cross-platform C++ - Multipass

Software Engineering Manager - Cross-platform C++ - Multipass

Software Engineering Manager, Ubuntu Gaming

Software Engineering Manager - Desktop and Embedded Linux Optimisation

Salesforce Engineering Manager, Commercial Systems

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon

Software Engineering Manager - Ubuntu Linux Kernel

Systems Integrations Engineering Manager

Engineering Manager for IAM (Identity and Access Management)

Linux Engineering Manager - Optimisation for Latest Hardware

Linux Enablement - Software Engineering Manager

Ubuntu Enablement - Software Engineering Manager

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Technical Project Manager - Data Warehousing

Direct message the job poster from LanceSoft Middle East

Position: Technical Project Manager - Data Warehousing

Duration: Long Term Contract

Experience - 10+ Years

Mandate Skills: Resource planning, Project Management, Cloud Migration, Scrum and Agile

Mandatory Skills:

• Experience in managing projects in Data warehousing and Business Intelligence using open source or top-tier tools and technologies
• Good knowledge of Dimensional Modeling
• Experience managing medium to large projects
• Proven experience in project planning, estimation, execution, and implementation of medium to large projects
• Proficient with various development methodologies like waterfall, agile/scrum, and iterative
• Strong interpersonal and communication skills
• Advanced proficiency in Microsoft Project, PowerPoint, Visio, Excel, and Word

Responsibilities:

• Work closely with customers to understand requirements, discuss, and define use cases
• Coordinate with key stakeholders to define solutions roadmap and prioritize deliverables
• Oversee end-to-end project delivery including estimations, planning, resourcing, and support
• Participate in requirements gathering workshops, estimation discussions, design meetings, and status reviews
• Contribute to solution design and implementation projects
• Monitor project status to ensure deliverables align with scope, budget, and timeline
• Communicate project status regularly to stakeholders
• Identify and manage risks/issues, developing mitigation plans as needed
• Seek continuous feedback for improvement
• Maintain knowledge artifacts related to project deliverables

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Information Services and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at LanceSoft Middle East by 2x

Get notified about new Technical Project Manager jobs in Doha, Qatar .

Technical Project Manager - Data Warehousing

Direct message the job poster from LanceSoft Middle East

Position: Technical Project Manager - Data Warehousing

Duration: Long Term Contract

Experience - 10+ Years

Mandate Skills: Resource planning, Project Management, Cloud Migration, Scrum and Agile

Mandatory Skills:

• Experience in managing projects in Data warehousing and Business Intelligence using open source or top-tier tools and technologies
• Good knowledge of Dimensional Modeling
• Experience managing medium to large projects
• Proven experience in project planning, estimation, execution, and implementation of medium to large projects
• Proficient with various development methodologies like waterfall, agile/scrum, and iterative
• Strong interpersonal and communication skills
• Advanced proficiency in Microsoft Project, PowerPoint, Visio, Excel, and Word

Responsibilities:

• Work closely with customers to understand requirements, discuss, and define use cases
• Coordinate with key stakeholders to define solutions roadmap and prioritize deliverables
• Oversee end-to-end project delivery including estimations, planning, resourcing, and support
• Participate in requirements gathering workshops, estimation discussions, design meetings, and status reviews
• Contribute to solution design and implementation projects
• Monitor project status to ensure deliverables align with scope, budget, and timeline
• Communicate project status regularly to stakeholders
• Identify and manage risks/issues, developing mitigation plans as needed
• Seek continuous feedback for improvement
• Maintain knowledge artifacts related to project deliverables

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Information Services and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at LanceSoft Middle East by 2x

Get notified about new Technical Project Manager jobs in Doha, Qatar .

#J-18808-Ljbffr