30 Cloud Data Engineer jobs in Kuwait

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for  **commercial customers**  at Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathonsand architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
**Required Qualifications**
+ 5+ years technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
**Additional or Preferred Qualifications**
+ 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
+ o OR equivalent experience
+ 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Responsibilities (Text Only)

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.

Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.

Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.

Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.

Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.

Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications (Text Only) Required Qualifications

5+ years technical pre-sales or technical consulting experience

OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience

OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience

OR equivalent experience

Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.

Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.

Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Additional or Preferred Qualifications

6+ years technical pre-sales, technical consulting, or technology delivery, or related experience

OR equivalent experience

4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#J-18808-Ljbffr

**Description**
Job Description
**Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Data Engineer to support APOLLO/OPIAS in Tampa, FL.** This role provides mission-critical support to Joint and Special Operations Forces (SOF) by designing, building, and maintaining scalable data infrastructure and pipelines that enable the planning, execution, and assessment of influence operations within the Irregular Warfare (IW) and Operations in the Information Environment (OIE). With expertise in cloud platforms, ETL frameworks, and both structured and semi-structured data, the data engineer ensures seamless ingestion, transformation, and normalization of diverse data sources-including social media, OSINT, SIGINT, cyber, and psychological operations platforms. The position will be responsible for providing OIE planners, analysts, and commanders with timely, mission-relevant data access for real-time alerting, influence mapping, and trend analysis. **This position is on a future contract pending award announcement.**
**Possible locations for this position are as follows:**
+ MacDill (Tampa, FL)
+ Al Udeid (Qatar)
+ Fort Meade (Maryland)
+ Northcom (Colorado Springs, CO)
+ Camp Humphreys (Korea)
+ Arifjan (Kuwait)
+ Joint Base Pearl Harbor-Hickam (Hawaii)
+ Fort Eisenhower (Georgia)
+ Offutt AFB (Omaha, NE)
+ Naval Operating Base Norfolk (Virginia)
+ Southcom (Doral, FL)
+ JB San Antonio (Texas)
+ Stuttgart (Germany)
+ Vicenza (Italy)
+ Tyndall AFB (Florida)
**Key Responsibilities:**
+ Conduct analysis of structured and semi-structured data sets to identify the effective integration for mission use.
+ Design, build, and maintain the data infrastructure and pipelines that support the planning, execution, and assessment of influence operations.
+ Review existing and emerging technical capabilities and offer recommendations on its potential value to enables OIE planners, analysts, and commanders to access, analyze, and operationalize large-scale datasets-often derived from social media, open-source intelligence (OSINT), cyber, SIGINT, or psychological operations platforms.
**Basic Qualifications:**
+ Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field
+ 8+ years of experience in data engineering or ETL pipeline development
+ Experience with data ingestion, transformation, and normalization from diverse structured and unstructured sources
+ Experience deploying in cloud environments (AWS, Azure, or GCP)
+ Proficient in Python and at least one ETL framework (e.g., Airflow, NiFi, Luigi)
+ Strong knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL)
+ Familiarity with version control tools (e.g., Git) and collaborative DevOps practices
+ Ability to work in cross-functional teams alongside analysts, developers, and IO planners
+ Strong documentation, communication, and troubleshooting skills
+ Active TS/SCI security clearance
**Preferred Qualifications:**
+ Master's degree in a technical discipline
+ Experience supporting Information Operations, PSYOP/MISO, or WebOps
+ Experience with data lake architecture, graph databases (e.g., Neo4j), or NoSQL stores (e.g., MongoDB)
+ Experience building pipelines that support real-time alerting, trend analysis, and influence mapping
+ Proficiency with data visualization frameworks (e.g., Kibana, Grafana, Plotly, or D3.js)
+ Familiarity with OSINT data platforms (e.g., Babel Street, Echosec, Talkwalker, Pulsar, Meltwater, Maltego)
+ Familiarity with containerized environments (Docker, Kubernetes)
+ Understanding of foreign language datasets or multilingual processing (NLP/NLU in Arabic, Russian, Chinese, etc.)
+ Background in API integration with social media platforms or dark web forums
EIO2024
**Original Posting:**
July 25, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
**Pay Range:**
Pay Range $104,650.00 - $189,175.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
REQNUMBER: R-00163302-OTHLOC-PL-2D0099
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

Long Description Job Summary
Data integration, unification, cleansing and data quality management
Job Responsibilities
Management of data inflow

Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring

Assemble large, complex data sets that meet functional / non-functional business requirements

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies; take necessary steps to implement necessary changes in the IT infrastructure such as MDM tool acquisition, data lake design, cloud solutions implementation in coordination with IT and technology coordinator

Create data tools for analytics and data scientist team members that assist them in building models by automating and simplifying data preparation

Translate customer data strategy into actionable data integration plans and execute these plans

Maintain 360 degree view of customer, enhance the customer datamarts by continuously integrating new sources of data

Data cleansing and unification

Create automated data anomaly detection systems and constant tracking of its performance

Process, cleanse, and verify integrity of data used for analysis; active use of built-in data quality dashboard on CDP and coordination of corrective actions

Develop algorithms to de-duplicate and export customer data from multiple BUs to ensure data unification

Ensure continuous unification of customer records and associated profile and transactional data
- Understanding of data modeling principles
- 5+ years of significant configuration and data management experience; comfortable handling and manipulating data, with demonstrated experience in a data-intensive setting
- Experience building highly scalable and high performing databases using modern NoSQL or cloud based technologies and integrating external APIs for data acquisition
- Experience identifying data anomalies or imperfections
- Experience of data structures and schemas, data preparation, cleansing and unification
- Possess the ability to train others - pass on knowledge within the organization

Education

Join to apply for the IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

What we are looking for in you

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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 Information Technology
• Industries Software Development

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#J-18808-Ljbffr

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior Data Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Utilise advanced data analytics to grow Canonical's product adoption and market penetration
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
• Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
• Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards
  
  

What we are looking for in you?

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesise and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges
  
  

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, you can ask in the later stages of the recruitment process.

Fully remote working environment - we've been working remotely since 2004!

Personal learning and development budget of 2,000 USD 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.

#J-18808-Ljbffr

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior

Data Engineer

at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location:

This role will be based remotely in the EMEA region.

What your day will look like

Utilise advanced data analytics to grow Canonical's product adoption and market penetration Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes Design and conduct experiments with data, visualisation and insights into Canonical's target audiences Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

What we are looking for in you?

Background in data science, mathematics, actuarial science, or engineering Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc) Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc) Ability to translate business questions to key research objectives Ability to identify the best methodology to execute research, synthesise and analyse findings Excellent writing and communication skills Willingness to examine the status quo and resilient in the face of challenges

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, you can ask in the later stages of the recruitment process.

Fully remote working environment - we've been working remotely since 2004!

Personal learning and development budget of 2,000 USD 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.

#J-18808-Ljbffr

Join to apply for the

IoT Data Engineer

role at

Canonical 2 days ago Be among the first 25 applicants Join to apply for the

IoT Data Engineer

role at

Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments. Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang. Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity. Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers. Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale. Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence. Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders. Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.

What we are looking for in you

You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability. You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance. You bring proven expertise in designing and optimizing systems using: IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling. Ability to design decentralized data ownership models, ensuring interoperability and governance across domains. Designing high-throughput, low-latency systems for IoT data processing. Data streaming technologies (MQTT, Kafka, RabbitMQ) Observability tools (OpenTelemetry) Industrial/engineering data exchange protocols (OPC-UA, ModBus) You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives. You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing. You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape. You are familiar with Ubuntu as a development and deployment platform. You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field. Willingness to travel up to 4 times a year for internal events.

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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.

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'''html

Required Data Engineer
- Bachelor degree
- Must have completed one of the following certifications:

- Data Engineering certification
- Database Administrator certification (Oracle or SQL server)
- Must have 8+ yrs. of Experience in IT Industry with 3+ yrs. experience in software development and administering database.
- Must have 3+ yrs. experience as Data engineer.
- Technical expertise in data models, data mining, and segmentation techniques
- Experience in database design

Kindly check the qualifications carefully before applying.

To apply, please send your resume to:
confidential

confidential

'''

This job has been sourced from an external job board.