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

3 days 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

Get notified about new Engineering Manager jobs in Doha, Doha, Qatar .

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Join to apply for the

Engineering Manager - Data Platform

role at

Canonical 3 days 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 Get notified about new Engineering Manager jobs in

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#J-18808-Ljbffr

Overview

We are seeking a highly motivated and experienced Cloud Solution Architect (CSA) - Data to join our Customer Success Unit. This individual contributor role is pivotal in driving customer transformation through data and AI solutions on Microsoft Azure. As a CSA, you will lead technical engagements, shape data strategies, and deliver scalable, secure, and resilient architectures that unlock business value.

Responsibilities

• Lead technical engagements and collaborate with enterprise customers, engineering teams, and internal stakeholders to accelerate adoption of Azure Data services.
• Shape data strategies and design scalable, secure, and resilient architectures that unlock business value through data and AI solutions on Microsoft Azure.
• Work with Azure Data services, including Databricks, Fabric, Cosmos DB, and Azure AI, to implement customer solutions.

Overview

We are seeking a highly motivated and experienced Cloud Solution Architect (CSA) – Data to join our Customer Success Unit. This individual contributor role is pivotal in driving customer transformation through data and AI solutions on Microsoft Azure. As a CSA, you will lead technical engagements, shape data strategies, and deliver scalable, secure, and resilient architectures that unlock business value.

Responsibilities

• Lead technical engagements and collaborate with enterprise customers, engineering teams, and internal stakeholders to accelerate adoption of Azure Data services.
• Shape data strategies and design scalable, secure, and resilient architectures that unlock business value through data and AI solutions on Microsoft Azure.
• Work with Azure Data services, including Databricks, Fabric, Cosmos DB, and Azure AI, to implement customer solutions.

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Overview

We are seeking a highly motivated and experienced

Cloud Solution Architect (CSA) – Data

to join our Customer Success Unit. This individual contributor role is pivotal in driving customer transformation through data and AI solutions on Microsoft Azure. As a CSA, you will lead technical engagements, shape data strategies, and deliver scalable, secure, and resilient architectures that unlock business value. Responsibilities

Lead technical engagements and collaborate with enterprise customers, engineering teams, and internal stakeholders to accelerate adoption of Azure Data services. Shape data strategies and design scalable, secure, and resilient architectures that unlock business value through data and AI solutions on Microsoft Azure. Work with Azure Data services, including Databricks, Fabric, Cosmos DB, and Azure AI, to implement customer solutions.

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Overview

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

For most tech people of our Data & Consulting division, the title of "Data engineer" or "Software engineer" does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Data Engineer Desirable Skills

• Excellent communication & a consultative/problem-solving approach
• Strong programming skills (SQL & Python) is a MUST
• Data modelling and modern data platform design concepts
• Building and maintaining data platforms in Azure/AWS or GCP
• Experience building scalable and robust data pipelines
• Experience with dealing with data security in Azure/AWS or GCP

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Consulting

Industries

• Advertising Services, Business Consulting and Services, and Software Development

Overview

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

For most tech people of our Data & Consulting division, the title of “Data engineer” or “Software engineer” does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Data Engineer Desirable Skills

• Excellent communication & a consultative/problem-solving approach
• Strong programming skills (SQL & Python) is a MUST
• Data modelling and modern data platform design concepts
• Building and maintaining data platforms in Azure/AWS or GCP
• Experience building scalable and robust data pipelines
• Experience with dealing with data security in Azure/AWS or GCP

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Consulting

Industries

• Advertising Services, Business Consulting and Services, and Software Development

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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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Overview

Get AI-powered advice on this job and more exclusive features. For most tech people of our Data & Consulting division, the title of “Data engineer” or “Software engineer” does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more. Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true. Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability. You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating. Data Engineer Desirable Skills

Excellent communication & a consultative/problem-solving approach Strong programming skills (SQL & Python) is a MUST Data modelling and modern data platform design concepts Building and maintaining data platforms in Azure/AWS or GCP Experience building scalable and robust data pipelines Experience with dealing with data security in Azure/AWS or GCP Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Consulting Industries

Advertising Services, Business Consulting and Services, and Software Development

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