data analyst intern

ai engineer

dashboard & data analytics specialist Jobs in Oman

dashboard & data analytics specialist

data & analytics engineer

digital transformation & systems analyst Jobs in Oman

digital transformation & systems analyst

data analytics engineer

creative pack om

Key Responsibilities:<ul><li>Design and develop databases and interactive dashboards to support decision-making.</li><li>Implement Business Intelligence (BI) solutions and integrate with various data sources.</li><li>Prepare digital performance reports, including digital transformation KPIs and service quality indicators.</li><li>Support predictive analytics and contribute to AI-related projects.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Data Science, Information Systems, or related field.</li><li>At least 4 years of hands-on experience with BI tools (Power BI, Tableau, etc.).</li><li>Proficiency in data analysis languages such as SQL, Python, or R.</li></ul>Job Type: Contract Contract length: 12 monthsPay: RO600.000 - RO1,000.000 per monthApplication Question(s):<ul><li>What is your salary expectation ? </li><li>What is your nationality ?</li></ul>

Data & Analytics Engineer

Canonical

<div>
 
 
 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.
 
 
 
 The role
 
 
 
 Our Workplace Engineering team are a highly performant group which specialises in web architecture and analytics specialists. Building new tools, dashboards and analytics that empower colleagues, managers and executives to make better decisions and deliver better work.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design and deliver web-based systems and SAAS
 </li>
 <li>
 Provide new insights into the Canonical workplace experience
 </li>
 <li>
 Enable new processes and improve existing workflows
 </li>
 <li>
 Collaborate proactively with a distributed team
 </li>
 <li>
 Write high-quality code to create new features
 </li>
 <li>
 Debug issues and produce high-quality code to fix them
 </li>
 <li>
 Consistently provide high-quality code reviews to other engineers
 </li>
 <li>
 Discuss ideas and collaborate on finding good solutions
 </li>
 <li>
 Estimate work, set goals and meet them
 </li>
 <li>
 Write project specifications, and epics and understand the risks
 </li>
 <li>
 Understand completion criteria and push work to completion
 </li>
 <li>
 Coaching, mentoring and providing feedback to more junior members of the team, while always developing yourself
 </li>
 <li>
 Connect to many data sources and provide insightful visualisations
 </li>
 <li>
 Database design and architecture for connected systems
 </li>
 <li>
 Developing new and improved working practices for the company
 </li>
 <li>
 Providing tooling to support optimised processes
 </li>
 <li>
 Love what you do.
 
 
 </li>
 </ul>
 
 Who you are
 
 
 
 To be successful in this team you must be an expert in two or more of the following:
 
 
 <ul>
 <li>
 Backend web service programming in Python and Node.JS
 </li>
 <li>
 Solid understanding of web development technologies such as HTML, CSS, and JavaScript.
 </li>
 <li>
 Data analytics and statistical analysis
 </li>
 <li>
 Natural language processing, sentiment analysis, machine learning
 </li>
 <li>
 Data visualisation
 
 
 </li>
 </ul>
 The ideal candidate will use their passion for experimentation and analytics to build tomorrow's tech organisation. This team will help us gain insights into the business and our talent pool, and use those insights to improve the experience of working at Canonical.
 
 
 As a Senior Web Engineer at Canonical, you need an analytical, data-driven mind and a passion to connect and make sense of interesting data from APIs. We focus heavily on the collection of metrics, optimising processes, and ways of working across Canonical. You need to demonstrate leadership, excellence, and consistency and will mentor others in the team.
 
 
 
 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 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.
 
 
</div>

Senior Software Engineer - Digital Workplace

Al Hathaifa Business Solution

Job Title: Dashboard &amp; Data Analytics SpecialistDuration: 6 Months (Extendable)Experience Required: Minimum 4 YearsRole OverviewWe are seeking an experienced Dashboard &amp; Data Analytics Specialist to design, enhance, and maintain dashboards and analytics solutions that drive business insights and decision-making. The ideal candidate will have strong hands-on expertise in Power BI (On-Prem &amp; Cloud), Qlik, DAX, SQL, and MS Excel, with a proven ability to translate data into actionable insights.This role requires close collaboration with management, IT teams, and external vendors to develop dashboards across multiple systems and support the organization&rsquo;s data-driven transformation strategy.Key Responsibilities<ul><li>Develop new dashboards and insights based on business and management requirements.</li><li>Enhance and optimize existing dashboards for performance and usability.</li><li>Research and implement new visualization techniques to improve data storytelling.</li><li>Analyze complex datasets as directed by management and present findings via dashboards.</li><li>Work with multiple vendors to understand existing database structures and integrate them into dashboards.</li><li>Support dashboard development across 5&ndash;6 business systems/applications (approx. 25 dashboards) during the engagement.</li><li>Implement and maintain on-premise Power BI Reporting Server, SharePoint Lists (on-premise), and SQL Server integrations.</li><li>Provide technical support in areas such as Gateway installation, Direct Query approach, and Power BI migration from on-premise to cloud.</li><li>Explore and understand system data schemas; suggest meaningful dashboards that highlight system correlations and generate insights for decision-making.</li><li>Conduct knowledge transfer, training sessions, and user enablement workshops on dashboarding and data analytics.</li><li>Mentor and upskill junior resources assigned to work alongside.</li><li>Create and deliver comprehensive documentation for all developed dashboards.</li></ul>Required Skills &amp; Qualifications<ul><li>Minimum 4 years of relevant IT experience in Dashboarding and Data Analytics.</li><li>Strong expertise in Power BI (On-Premise &amp; Cloud), Qlik, DAX programming, and MS Excel.</li><li>Proven experience working with on-premise Power BI Reporting Server, SharePoint Lists (as data source), and SQL Server.</li><li>Hands-on knowledge of Power BI cloud transition strategies, including Gateway setup and Direct Query configurations.</li><li>Strong understanding of database structures, data modeling, and schema design.</li><li>Excellent analytical and problem-solving skills with the ability to generate insights from complex data.</li><li>Strong communication skills to interact with management, technical teams, and vendors.</li><li>Ability to deliver knowledge sharing sessions and provide guidance to other resources.</li><li>Documentation skills for creating end-to-end technical and functional dashboards references.</li></ul>Preferred Attributes<ul><li>Proactive approach to exploring systems and identifying new opportunities for analytics.</li><li>Strong business acumen to understand management requirements and translate them into effective dashboards.</li><li>Ability to manage multiple dashboards/projects simultaneously and deliver within timelines.</li></ul>How to Apply: Interested candidates may share their updated resume at jobs@al-hathaifa.comJob Type: Contract Contract length: 6 months

Dashboard & Data Analytics Specialist

Siemens

<div>
 
 Commissioning Engineer &ndash; UAE, Oil Fields Abu Dhabi &amp; Worldwide Assignments
 
 
 
 We know that a business thrives only when its people are thriving. That's why we always put our people first. Our global and diverse team is eager to support you and challenge you to grow in many ways. Who knows where our joint journey will take you?
 
 
 Siemens strongly believes in the value of a Digital Portfolio. That&rsquo;s why Smart Infrastructure Electrification &amp; Automation combines Power Distribution and Digital technologies. Our Digital Portfolio enables our customers to experience solutions that are intuitive, comfortable, safe, secure, and energy-efficient.
 
 
 Our Smart Infrastructure team works to create resilient and sustainable infrastructure. We connect the physical world with the digital world. With the help of data and analytics, we empower our customers to make their energy systems and processes in buildings and industries more efficient and sustainable. Together with our customers, we transform the everyday for a better tomorrow.
 
 
 Join our Smart Infrastructure Electrification &amp; Automation Business Unit as
 
 Commissioning Engineer
 
 for Oil Field Works in
 
 Abu Dhabi, UAE
 
 and help us reimagine the world by finding solutions that make tomorrow a more innovative place.
 
 
 
 You&lsquo;ll make a difference by
 
 
 
 <ul>
 <li>
 Expert knowledge in testing and commissioning of Transformers, Siemens Switchgears NXAIR, 8DA10, Sivacon S8 and the protection systems.
 </li>
 <li>
 Willingness to work at site in the challenging On and Offshore O&amp;G environment on rotational base with 12 hour working time 7 days a week.
 </li>
 <li>
 Unrestricted mobility.
 </li>
 <li>
 Provide advanced technical support for Siemens distribution systems with a focus on testing and troubleshooting.
 </li>
 <li>
 Deliver testing &amp; commissioning that address unique customer requirements in industries such as oil &amp; gas and petrochemicals.
 </li>
 <li>
 Act as the on-site technical representative for Siemens leading the end-to-end testing and commissioning process.
 </li>
 <li>
 Coordinate and verify testing results, updating site-specific documentation and closing out any open points.
 </li>
 <li>
 Collaborate with customer teams to achieve timely testing and commissioning of the Siemens equipment and acceptance of the testing works.
 </li>
 <li>
 Independently handle complex technical issues and mentor less experienced engineers as needed.
 </li>
 <li>
 Maintain detailed records of service activities and prepare comprehensive test records and reports.
 </li>
 <li>
 Stay current on Siemens products and industry trends through ongoing training and professional development.
 </li>
 <li>
 Assess and manage on-site risks and opportunities, ensuring compliance with all relevant standards, regulations, quality benchmarks, and EHS (Environment, Health, and Safety) guidelines.
 
 
 </li>
 </ul>
 
 Your success is grounded in
 
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in electrical engineering, power engineering, high voltage engineering or a related subject is required.
 </li>
 <li>
 Min 5 years&rsquo; experience as Commissioning Engineer in O&amp;G Projects.
 </li>
 <li>
 Expert Level knowledge of Siemens MV and LV products and power applications. Commissioning Training Certifications in Siemens Transformers, NXAIR, 8DA10 and Sivacon S8 systems and the protection systems is preferred.
 </li>
 <li>
 Intercultural experience gained by work in the middle east.
 </li>
 <li>
 Ability to perform the testing works, safely, on time, with high quality and with effective planning.
 </li>
 <ul>
 <li>
 By your medical fitness
 </li>
 <li>
 Communication skills
 </li>
 <li>
 Excellent multi-tasking, organizational, and time-management skills to work effectively under pressure
 </li>
 <li>
 Customer-focus
 
 </li>
 </ul>
 </ul>
 
 We offer you
 
 
 
 <ul>
 <li>
 Diverse and inclusive culture.
 </li>
 <li>
 An environment where everyone can bring their whole self and feel a sense of belonging.
 </li>
 <li>
 The foundation to develop personally and expertly.
 </li>
 <li>
 Great variety of learning &amp; development opportunities
 
 
 </li>
 </ul>
 
 Transform the everyday with us!
 
 
 
 If you are a motivated teammate, eager to learn new things and looking to grow your career in a strong and forward-thinking company, hit apply!. Siemens is dedicated to quality, equality, and valuing diversity, and we encourage applications that reflect the diversity of the communities within which we work. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
 
 
 At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
 
 
 
 Please note: Only complete applications can be considered in the selection process. We appreciate if you attach the certificates of your trainings in pdf along with your applications.
 
</div>

Commissioning Engineer – UAE, Oil Fields Abu Dhabi

<div>Job summary<div>
Entity:
Technology 
Job Family Group:
Business Support Group 
Job Description:
Role Synopsis
The Data Analyst plays a critical role in ensuring the integrity, usability, and integration of subsurface and wells data across platforms and teams. With a strong foundation in geoscience, Python programming, and database management, the analyst supports data quality initiatives, dashboard readiness, and cross-functional decision-making. This role is pivotal in enabling trusted data pipelines and analytics for planning, drilling, and operational efficiency across MENA assets.
Key Accountabilities<ul><div>
Data Profiling &amp; Auditing:<ul><div>
Identify missing, duplicate, or inconsistent data across subsurface and wells portfolios.</div><div>
Audit well headers, logs, casing depths, and time-depth curves to ensure data completeness and accuracy.</div></ul></div><div>
Define Data Quality Rules:<ul><div>
Codify validation rules (e.g., log depth &lt; total depth, unit consistency).</div><div>
Implement checks using SQL, EDM, Power BI, and Well Intel tools to support reliable reporting.</div></ul></div><div>
Cleansing &amp; Validation:<ul><div>
Standardize and correct log names, formation tops, mechanical values, and production data.</div><div>
Work across Petrel, Studio, OpenWorks, Fusion sheets, and Excel to ensure clean datasets.</div></ul></div><div>
Data Integration:<ul><div>
Merge and reconcile data across applications such as Petrel, PI System, Palantir, EDM, and SharePoint.</div><div>
Enable unified views for modeling, planning, and dashboarding.</div></ul></div><div>
Dashboard Readiness:<ul><div>
Prepare validated datasets for Power BI/Tableau with quality confidence tagging.</div><div>
Support creation of &ldquo;One Source of Truth&rdquo; dashboards for decision-makers.</div></ul></div><div>
Auditability &amp; Metadata Management:<ul><div>
Maintain data dictionaries, lineage records, and version tracking.</div><div>
Ensure traceability, compliance, and reproducibility of models and analytics.</div></ul></div></ul>
Job Requirements &amp; Essential Education<ul><div>
Degree in Data Science, Data Analytics, Computer Science, or Information Systems</div><div>
Omani citizen</div><div>
Minimum CGPA of 3.00</div><div>
Open for 2023, 2024, 2025 graduates</div></ul>
Required Technical Skills<ul><div>
Python (Pandas, NumPy, Matplotlib/Seaborn)</div><div>
SQL (basic to intermediate query writing)</div><div>
Excel (Pivot Tables, Lookups, formulas)</div><div>
Data Visualization (Power BI preferred; Tableau is a plus)</div></ul>
Soft Skills<ul><div>
Strong analytical and prioritization skills</div><div>
Ability to build relationships across Geoscience, Engineering, and IT disciplines</div><div>
Proven ability to implement data management best practices</div><div>
Willingness to learn and share knowledge</div></ul> 
Travel Requirement
No travel is expected with this role 
Relocation Assistance:
This role is not eligible for relocation 
Remote Type:
This position is not available for remote working 
Skills:
Adaptability, Authenticity, Communication, Continued Learning, Courage, Creativity and Innovation, Curiosity, Decision Making, Digital fluency, Ethical judgement, Excellence, Group Problem Solving, Influencing, Knowledge Sharing, Listening, Managing volatility, Resilience, Self-Awareness, Stakeholder Engagement, Stakeholder Management, Understanding Emotions, Writing skills 
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. 
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div></div>

Data Analyst Intern

<div>
 
 Entity:
 
 
 
 Technology
 
 
 
 Job Family Group:
 
 
 
 Business Support Group
 
 
 
 Job Description:
 
 
 
 
 Role Synopsis
 
 
 
 The Data Analyst plays a critical role in ensuring the integrity, usability, and integration of subsurface and wells data across platforms and teams. With a strong foundation in geoscience, Python programming, and database management, the analyst supports data quality initiatives, dashboard readiness, and cross-functional decision-making. This role is pivotal in enabling trusted data pipelines and analytics for planning, drilling, and operational efficiency across MENA assets.
 
 
 Key Accountabilities
 
 
 <li>
 Data Profiling &amp; Auditing:
 </li>
 <ul>
 <li>
 Identify missing, duplicate, or inconsistent data across subsurface and wells portfolios.
 </li>
 <li>
 Audit well headers, logs, casing depths, and time-depth curves to ensure data completeness and accuracy.
 </li>
 </ul>
 <li>
 Define Data Quality Rules:
 
 
 </li>
 Codify validation rules (e.g., log depth &lt; total depth, unit consistency).
 <li>
 Implement checks using SQL, EDM, Power BI, and Well Intel tools to support reliable reporting.
 </li>
 <li>
 Cleansing &amp; Validation:
 </li>
 <ul>
 <li>
 Standardize and correct log names, formation tops, mechanical values, and production data.
 </li>
 <li>
 Work across Petrel, Studio, OpenWorks, Fusion sheets, and Excel to ensure clean datasets.
 </li>
 </ul>
 <li>
 Data Integration:
 </li>
 <ul>
 <li>
 Merge and reconcile data across applications such as Petrel, PI System, Palantir, EDM, and SharePoint.
 </li>
 <li>
 Enable unified views for modeling, planning, and dashboarding.
 </li>
 </ul>
 <li>
 Dashboard Readiness:
 </li>
 <ul>
 <li>
 Prepare validated datasets for Power BI/Tableau with quality confidence tagging.
 </li>
 <li>
 Support creation of &ldquo;One Source of Truth&rdquo; dashboards for decision-makers.
 </li>
 </ul>
 <li>
 Auditability &amp; Metadata Management:
 </li>
 <ul>
 <li>
 Maintain data dictionaries, lineage records, and version tracking.
 </li>
 <li>
 Ensure traceability, compliance, and reproducibility of models and analytics.
 
 
 </li>
 </ul>
 
 Job Requirements &amp; Essential Education
 
 
 <ul>
 <li>
 Degree in Data Science, Data Analytics, Computer Science, or Information Systems
 </li>
 <li>
 Omani citizen
 </li>
 <li>
 Minimum CGPA of 3.00
 </li>
 <li>
 Open for 2023, 2024, 2025 graduates
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Python (Pandas, NumPy, Matplotlib/Seaborn)
 </li>
 <li>
 SQL (basic to intermediate query writing)
 </li>
 <li>
 Excel (Pivot Tables, Lookups, formulas)
 </li>
 <li>
 Data Visualization (Power BI preferred; Tableau is a plus)
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and prioritization skills
 </li>
 <li>
 Ability to build relationships across Geoscience, Engineering, and IT disciplines
 </li>
 <li>
 Proven ability to implement data management best practices
 </li>
 <li>
 Willingness to learn and share knowledge
 
 
 </li>
 </ul>
 
 Travel Requirement
 
 
 
 No travel is expected with this role
 
 
 
 Relocation Assistance:
 
 
 
 This role is not eligible for relocation
 
 
 
 Remote Type:
 
 
 
 This position is not available for remote working
 
 
 
 Skills:
 
 
 
 Adaptability, Authenticity, Communication, Continued Learning, Courage, Creativity and Innovation, Curiosity, Decision Making, Digital fluency, Ethical judgement, Excellence, Group Problem Solving, Influencing, Knowledge Sharing, Listening, Managing volatility, Resilience, Self-Awareness, Stakeholder Engagement, Stakeholder Management, Understanding Emotions, Writing skills
 
 
 
 Legal Disclaimer:
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
 
 
 If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
</div>

<div>
 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 1000+ colleagues in 70+ countries and very few roles based in offices. 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. We are hiring
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 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 recognise 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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 its 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.
 
 
</div>

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

Explore 266+ Data analytics engineer in Oman this September. Find roles across top companies and apply now to boost your career.

266 data analytics engineer jobs IN Oman

Data & Analytics Engineer

Senior Software Engineer - Digital Workplace

Dashboard & Data Analytics Specialist

Commissioning Engineer – UAE, Oil Fields Abu Dhabi

Data Analyst Intern

Data Analyst Intern

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