74 Python Engineer jobs in Doha

The Data Engineer handles thedesign, development, and maintenance of data pipelines, ETL processes, anddatabase management to support AI and data science initiatives. This roleinvolves ensuring data quality, scalability, and performance across all dataengineering activities.

Responsibilities and Duties

Design, develop, and maintain data pipelines, ETL processes,and database systems to support AI and data science initiatives. Collaborate with data scientists, AI/ML engineers, and otherstakeholders to understand data requirements and ensure data availability andquality. Implement data governance, security, and regulatorystandards in all data engineering activities. Optimize data pipelines and processes for scalability,performance, and cost-efficiency. Monitor and ensure the performance and reliability of datasystems, identifying and resolving issues as needed. Stay updated with the latest advancements in dataengineering technologies and best practices. Provide support and guidance to other team members asneeded. Prepare and present data engineering reports anddocumentation to senior management and stakeholders. Participate in project planning and contribute to thedevelopment of project timelines and deliverables. Perform other duties relevant to the job as assigned by theSr. Data Engineer or senior management.

Requirements

Bachelor’s degree in Data Engineering, Computer Science, ora related field Relevant certifications (e.g., Google Cloud ProfessionalData Engineer, AWS Certified Big Data – Specialty) are preferred Minimum of 3 years of experience in data engineering orrelated fields Experience in designing and implementing data pipelines, ETLprocesses, and database systems for AI or technology-focused products Strong programming skills in languages such as Python, Java,or SQL Proficiency in data engineering tools and frameworks (e.g.,Apache Spark, Kafka) Excellent problem-solving and analytical skills Strong communication and interpersonal skills Attention to detail and commitment to quality In-depth understanding of data engineering principles, ETLprocesses, and database management Familiarity with cloud platforms (e.g., AWS, Azure, GoogleCloud) and their data services Knowledge of data governance, security, and regulatorystandards Ability to manage multiple tasks and prioritize effectively Strong attention to detail and commitment to deliveringhigh-quality work Ability to work independently and as part of a team Programming languages (e.g., Python, Java, SQL) Data engineering tools and frameworks (e.g., Apache Spark,Kafka) Data management systems (e.g., SQL, NoSQL databases) Collaboration and communication tools (e.g., Slack,Microsoft Teams)

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Python Software Engineer - Ubuntu Hardware Certification Team

Join to apply for the Python Software Engineer - Ubuntu Hardware Certification Team role at Canonical

Python Software Engineer - Ubuntu Hardware Certification Team

3 weeks ago Be among the first 25 applicants

Join to apply for the Python Software Engineer - Ubuntu Hardware Certification Team role at Canonical

Canonical is hiring a Python Software Engineer to join the Certification team, who make the tools which enable us to know that a desktop, laptop, server or IoT device is working properly. We work at the interface of hardware and software, so the ideal candidate is a Python developer familiar with hardware.

The Certification team develops the tools needed to certify hardware as working with Ubuntu Core as well as Ubuntu Desktop and Server: design hardware which can be used to probe devices independently, and frameworks for software tests that check every aspect of Ubuntu on that hardware.

This is an excellent opportunity for someone who wants to have a meaningful impact for adoption of Linux across multiple device categories and industries. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities. This team is centered in EMEA time zones, and works with colleagues on related teams in both the Americas and APAC.

We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices.

Role description

We are looking for a self-motivated software engineer with experience developing in Python, to work on test automation tools or Linux based embedded hardware. This role offers an exciting opportunity to push the industry forward by enabling entirely new Linux based hardware testing capabilities, scaling up hardware certification efforts and allowing for deeper test coverage.

The role involves the development and maintenance of Canonical's open source certification tools, supporting the creation of hardware solutions for test automation, and automating our existing processes. We seek out continuous process and tooling improvements as part of expanding the certification test suites, ultimately to improve the quality of Linux experience felt by millions of Linux end users.

Key responsibilities

• Maintain and develop new features to our Python based test automation tools like Checkbox, used by both in-house teams and industry partners.
• Invent new ways to enable remote, automated testing.
• Help build the software counterpart to in-house designed testing hardware to help test device enablement (graphics, hotplug, bluetooth, etc).
• Write functional and performance tests to support hardware enablement and to protect from regressions.
• Participate in meetings involving international travel 2-3 times per year.
  
  

Required Skills And Experience

• Knowledge of Python programming language.
• Quality oriented, pragmatic approach to software design and implementation.
• Interest in test automation methodologies.
• Previous experience working with Ubuntu or other Linux distributions.
• Ability to be productive in a globally distributed team.
  
  

Desired Skills And Experience

• Passion for tinkering: you are a maker.
• Experience working in an agile environment.
• Hardware testing experience, for example in the IoT space.
• Familiarity with the C programming language.
  
  

What is Canonical?

Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, "the world's best free software platform". Our services help businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu.

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.

#Stack

Seniority level

• Seniority level Entry 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 “Software Engineer” roles. 29 Companies Hiring Fully Remote Jobs: Your Future Awaits! Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Solutions Engineering Software Engineer (Python/Linux/Packaging) Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python Software Engineer, Commercial Systems Software Engineer - Immutable Ubuntu Desktop Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Distributed Systems Software Engineer, Python / Go System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem

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Python Software Engineer - Ubuntu Hardware Certification Team

Join to apply for the

Python Software Engineer - Ubuntu Hardware Certification Team

role at

Canonical Python Software Engineer - Ubuntu Hardware Certification Team

3 weeks ago Be among the first 25 applicants Join to apply for the

Python Software Engineer - Ubuntu Hardware Certification Team

role at

Canonical Canonical is hiring a Python Software Engineer to join the Certification team, who make the tools which enable us to know that a desktop, laptop, server or IoT device is working properly. We work at the interface of hardware and software, so the ideal candidate is a Python developer familiar with hardware.

The Certification team develops the tools needed to certify hardware as working with Ubuntu Core as well as Ubuntu Desktop and Server: design hardware which can be used to probe devices independently, and frameworks for software tests that check every aspect of Ubuntu on that hardware.

This is an excellent opportunity for someone who wants to have a meaningful impact for adoption of Linux across multiple device categories and industries. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities. This team is centered in EMEA time zones, and works with colleagues on related teams in both the Americas and APAC.

We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices.

Role description

We are looking for a self-motivated software engineer with experience developing in Python, to work on test automation tools or Linux based embedded hardware. This role offers an exciting opportunity to push the industry forward by enabling entirely new Linux based hardware testing capabilities, scaling up hardware certification efforts and allowing for deeper test coverage.

The role involves the development and maintenance of Canonical's open source certification tools, supporting the creation of hardware solutions for test automation, and automating our existing processes. We seek out continuous process and tooling improvements as part of expanding the certification test suites, ultimately to improve the quality of Linux experience felt by millions of Linux end users.

Key responsibilities

Maintain and develop new features to our Python based test automation tools like Checkbox, used by both in-house teams and industry partners. Invent new ways to enable remote, automated testing. Help build the software counterpart to in-house designed testing hardware to help test device enablement (graphics, hotplug, bluetooth, etc). Write functional and performance tests to support hardware enablement and to protect from regressions. Participate in meetings involving international travel 2-3 times per year.

Required Skills And Experience

Knowledge of Python programming language. Quality oriented, pragmatic approach to software design and implementation. Interest in test automation methodologies. Previous experience working with Ubuntu or other Linux distributions. Ability to be productive in a globally distributed team.

Desired Skills And Experience

Passion for tinkering: you are a maker. Experience working in an agile environment. Hardware testing experience, for example in the IoT space. Familiarity with the C programming language.

What is Canonical?

Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, "the world's best free software platform". Our services help businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu.

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.

#Stack

Seniority level

Seniority level Entry 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 “Software Engineer” roles.

29 Companies Hiring Fully Remote Jobs: Your Future Awaits!

Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu

Software Engineer - Solutions Engineering

Software Engineer (Python/Linux/Packaging)

Software Engineer - Cross-platform C++ - Multipass

Software Engineer - Python - Container Images

Python Software Engineer, Commercial Systems

Software Engineer - Immutable Ubuntu Desktop

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Distributed Systems Software Engineer, Python / Go

System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem

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

The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

Responsibilities and Duties

• Design, develop, and maintain data pipelines, ETL processes, and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality.
• Implement data governance, security, and regulatory standards in all data engineering activities.
• Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in data engineering technologies and best practices.
• Mentor and provide guidance to junior data engineers and other team members.
• Prepare and present data engineering reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management.

Requirements

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred.
• Minimum of 8 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, SQL.
• Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data engineering principles, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

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The Sr. Data Engineer supports the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

Responsibilities and Duties

1. Support the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives.
2. Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality.
3. Implement data governance, security, and regulatory standards in all data engineering activities.
4. Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
5. Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
6. Stay updated with the latest advancements in data engineering technologies and best practices.
7. Mentor and provide guidance to junior data engineers and other team members.
8. Prepare and present data engineering reports and documentation to senior management and stakeholders.
9. Participate in project planning and contribute to the development of project timelines and deliverables.
10. Perform other duties relevant to the job as assigned by the Principal Data Engineer or senior management.

Requirements

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred.
• Minimum of 5 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, SQL.
• Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data engineering principles, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

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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:

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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The Sr. Data Engineer supports the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities. Responsibilities and Duties

Support the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives. Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality. Implement data governance, security, and regulatory standards in all data engineering activities. Optimize data pipelines and processes for scalability, performance, and cost-efficiency. Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed. Stay updated with the latest advancements in data engineering technologies and best practices. Mentor and provide guidance to junior data engineers and other team members. Prepare and present data engineering reports and documentation to senior management and stakeholders. Participate in project planning and contribute to the development of project timelines and deliverables. Perform other duties relevant to the job as assigned by the Principal Data Engineer or senior management. Requirements

Bachelor’s degree in Data Engineering, Computer Science, or a related field. Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred. Minimum of 5 years of experience in data engineering or related fields. Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products. Strong programming skills in languages such as Python, SQL. Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Attention to detail and commitment to quality. In-depth understanding of data engineering principles, ETL processes, and database management. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data governance, security, and regulatory standards. Ability to manage multiple tasks and prioritize effectively. Ability to work independently and as part of a team.

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The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities. Responsibilities and Duties

Design, develop, and maintain data pipelines, ETL processes, and database systems to support AI and data science initiatives. Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality. Implement data governance, security, and regulatory standards in all data engineering activities. Optimize data pipelines and processes for scalability, performance, and cost-efficiency. Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed. Stay updated with the latest advancements in data engineering technologies and best practices. Mentor and provide guidance to junior data engineers and other team members. Prepare and present data engineering reports and documentation to senior management and stakeholders. Participate in project planning and contribute to the development of project timelines and deliverables. Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management. Requirements

Bachelor’s degree in Data Engineering, Computer Science, or a related field. Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred. Minimum of 8 years of experience in data engineering or related fields. Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products. Strong programming skills in languages such as Python, SQL. Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Attention to detail and commitment to quality. In-depth understanding of data engineering principles, ETL processes, and database management. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data governance, security, and regulatory standards. Ability to manage multiple tasks and prioritize effectively. Ability to work independently and as part of a team.

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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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