13 Data Acquisition jobs in Oman

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.
  
  

• 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.
  

• 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
  
  

This role is exclusively for Omani nationals and requires candidates to be Omani citizens.

We are looking for a talented and experienced Data Infrastructure Engineer to join our team. This role focuses on building, deploying, maintaining, and optimizing data infrastructure that supports our data-driven operations. You will work with large-scale data processing systems, ensuring they are robust, scalable, and high-performing in production environments. The ideal candidate has strong technical skills in distributed data systems, particularly in deploying and managing these systems, and is passionate about creating efficient data workflows that drive actionable insights.

• Design, develop, and maintain scalable data infrastructure solutions to support large-scale data processing and analytics.
• Deploy and configure distributed data systems, including data storage (e.g., HDFS, cloud storage) and data processing frameworks (e.g., Hadoop, Spark), ensuring they are resilient, optimised, and production-ready.
• Build and automate ETL workflows, managing data extraction, transformation, and loading processes to ensure data quality, consistency, and availability.
• Monitor the health and performance of data infrastructure, proactively troubleshooting and resolving performance bottlenecks and operational issues to maintain system stability.
• Optimise and scale infrastructure, leveraging containerisation (e.g., Docker) and orchestration (e.g., Kubernetes) to manage resources efficiently and support growing data volumes.
• Implement data governance practices and enforce best practices for data handling, quality, security, and compliance.
• Collaborate with data engineers, analysts, and cross-functional teams to understand data requirements and support data accessibility across the organisation.
• Stay updated on the latest trends and tools in data infrastructure, evaluating and recommending new technologies to enhance our capabilities.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 2+ years of experience in building, deploying, and managing data infrastructure, particularly in distributed data systems.
• Proficiency in big data technologies, including Hadoop, Spark, Hive, or related frameworks.
• Strong programming skills in languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms (e.g., Google Cloud, AWS, Azure) and cloud storage solutions.
• Knowledge of data formats such as Parquet, Avro, or ORC, and data querying tools like HiveQL.
• Familiarity with data pipeline orchestration tools, such as Apache Airflow or Luigi.
• Excellent problem-solving skills and the ability to work collaboratively within a team environment.

• Experience with additional data engineering tools like Apache Kafka, Apache NiFi, or Flume.
• Telecom industry experience, particularly in building data solutions for network performance or customer analytics.
• Familiarity with DevOps practices and CI/CD pipelines in a data engineering environment.

• Competitive Compensation : A comprehensive salary package with performance incentives.
• Career Development : Access to ongoing training, certifications, and professional development resources.
• Health and Wellness : Full health insurance, retirement plans, and wellness programs.
• Innovative Projects : Opportunities to work on high-impact data solutions with a talented, driven team.
• Cutting-Edge Environment : A collaborative culture that values creativity, learning, and innovation.

• Shape the future of digital ecosystems: Be part of a team that's redefining digital ecosystems management to make it intelligent, adaptive, and capable of supporting future demands.
• Innovate for impact: Work on cutting-edge technologies like AI, IoT, and data analytics to address real-world challenges in infrastructure.
• Empower smart cities: Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable.
• Grow with us: Join a dynamic, mission-driven team that values collaboration, innovation, and growth. We are committed to creating a workplace where you can thrive, learn, and make a meaningful impact.

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

Employment Type: Full-time

We are seeking a motivated and qualified NRW Hydraulic & Data Analyst Engineer to join our dynamic team in Muscat. This role offers an exciting opportunity to work on critical water network management projects, contribute to reducing Non-Revenue Water (NRW), and support sustainable water resource management in Oman.

• Provide engineering input for hydraulic studies and network optimization.
• Perform detailed water balance calculations and analyze network performance (IWA methodology preferred).
• Monitor and evaluate water network parameters, including: pressure, TDF, MNF, flow rates, consumption patterns, losses/NRW, leak detection indicators, reservoir/tank levels, and valve/pressure operations.
• Support the planning, implementation, and monitoring of NRW reduction strategies.
• Utilize Netbase (or similar software), Microsoft Excel, and Power BI (advantage) for data analysis, modeling, and reporting.
• Collaborate with field teams to validate data, investigate abnormalities, and coordinate surveys/trial pits.
• Prepare and deliver technical reports, dashboards, and presentations for management, clients, and stakeholders.

• Bachelor’s degree in Civil, Hydraulic, Water, or related Engineering discipline.
• Proven experience in NRW projects, water loss management, and hydraulic analysis.
• Strong knowledge of water balance methodology.
• Proficiency in Excel; hands-on experience with Netbase or similar water management software; knowledge of Power BI is a plus.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and teamwork abilities.
• Ability to work full-time in Muscat, Oman.

Please send your CV and cover letter to with the subject line: NRW Hydraulic & Data Analyst Engineer – Muscat

Employment Type: Full-time

We are seeking a motivated and qualified NRW Hydraulic & Data Analyst Engineer to join our dynamic team in Muscat. This role offers an exciting opportunity to work on critical water network management projects, contribute to reducing Non-Revenue Water (NRW), and support sustainable water resource management in Oman.

• Provide engineering input for hydraulic studies and network optimization.
• Perform detailed water balance calculations and analyze network performance (IWA methodology preferred).
• Monitor and evaluate water network parameters, including: pressure, TDF, MNF, flow rates, consumption patterns, losses/NRW, leak detection indicators, reservoir/tank levels, and valve/pressure operations.
• Support the planning, implementation, and monitoring of NRW reduction strategies.
• Utilize Netbase (or similar software), Microsoft Excel, and Power BI (advantage) for data analysis, modeling, and reporting.
• Collaborate with field teams to validate data, investigate abnormalities, and coordinate surveys/trial pits.
• Prepare and deliver technical reports, dashboards, and presentations for management, clients, and stakeholders.

• Bachelor's degree in Civil, Hydraulic, Water, or related Engineering discipline.
• Proven experience in NRW projects, water loss management, and hydraulic analysis.
• Strong knowledge of water balance methodology.
• Proficiency in Excel; hands-on experience with Netbase or similar water management software; knowledge of Power BI is a plus.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and teamwork abilities.
• Ability to work full-time in Muscat, Oman.

Please send your CV and cover letter to with the subject line: NRW Hydraulic & Data Analyst Engineer - Muscat

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines.

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms.

We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of features of data platforms, not analysing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
• Experience with Linux systems administration, package management, and operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• 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
  
  

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Join to apply for the Software Engineer - Data Infrastructure role at Canonical

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines.

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms.

We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of features of data platforms, not analysing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
• Experience with Linux systems administration, package management, and operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• 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
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines.

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms.

We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of features of data platforms, not analysing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
• Experience with Linux systems administration, package management, and operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• 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
  
  

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• 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 twice a year
• Priority Pass for travel and travel upgrades for long haul company events