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18 Hadoop jobs in Bahrain

Graduate Trainee - Data Analysis

411 Tubli BHD1800 Monthly WhatJobs

Posted today

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Job Description

intern

Our client is looking for enthusiastic and bright Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to gain hands-on experience in data interpretation, analysis, and reporting within a structured internship program. While this role offers a hybrid work model, requiring some presence in the office for collaborative sessions and training, there will be significant opportunities for remote work throughout the internship. You will work alongside experienced data analysts, contributing to real-world projects and learning essential data science techniques. The program is designed to provide a comprehensive understanding of data analysis tools and methodologies, preparing you for a successful career in the field.

Responsibilities:

Assist in collecting, cleaning, and organizing large datasets from various sources.
Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
Create data visualizations, charts, and dashboards to communicate findings effectively.
Support senior analysts in developing reports and presentations for stakeholders.
Learn and apply data manipulation techniques using software like Excel, SQL, or Python.
Participate in team meetings to discuss project progress and share findings.
Contribute to the development of data models and analytical frameworks.
Help in identifying data quality issues and recommend solutions.
Gain exposure to business intelligence tools and their application.
Assist in testing and validating data outputs.
Follow established data governance and security protocols.
Engage in learning activities and training sessions to enhance data analysis skills.

Qualifications:

Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Strong analytical and problem-solving skills.
Proficiency in Microsoft Excel for data manipulation and analysis.
Basic understanding of statistical concepts and methods.
Familiarity with at least one programming language (e.g., Python, R) or database query language (e.g., SQL) is a strong plus.
Excellent attention to detail and accuracy.
Good written and verbal communication skills.
Ability to work effectively both independently and as part of a team in a hybrid environment.
Eagerness to learn and a proactive attitude towards acquiring new skills.
Must be eligible to work in the specified location.
Enthusiasm for data and its potential to drive business decisions.

This hybrid Graduate Trainee program offers a solid foundation for a career in data analysis. If you are a motivated graduate eager to learn and contribute, we encourage you to apply.

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Graduate Programme - Data Analysis

503 Busaiteen, Muharraq BHD35000 Annually WhatJobs

Posted 1 day ago

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Job Description

intern

Our client, a leading data analytics firm, is offering a competitive Graduate Programme in Data Analysis. This on-site position in Busaiteen, Muharraq, BH , is designed for ambitious recent graduates eager to launch their careers in the data science field. You will work alongside experienced data analysts and scientists, gaining practical experience in data collection, cleaning, processing, and visualization. The programme provides intensive training in analytical techniques, statistical modeling, and data interpretation.

Responsibilities include assisting with data extraction from various sources, performing exploratory data analysis, generating reports and dashboards, and contributing to data-driven insights for business decision-making. You will have the opportunity to work on diverse projects across different industries, applying your analytical skills to real-world challenges. The ideal candidate will possess a strong academic background with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with SQL are essential.

We are looking for individuals with excellent analytical and problem-solving abilities, a keen attention to detail, and a strong desire to learn. Good communication skills are necessary to present findings and collaborate with team members. This program offers excellent mentorship, opportunities for professional development, and a pathway to a full-time Data Analyst position upon successful completion. Join a forward-thinking company at the forefront of data innovation. This role requires full-time commitment at our offices in Busaiteen, Muharraq, BH .

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Graduate Trainee - Data Analysis

5015 Saar, Northern BHD40000 annum (stip WhatJobs

Posted 2 days ago

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Job Description

intern

Our client is excited to welcome ambitious and intellectually curious Graduate Trainees to join their data-driven organization for a fully remote internship program. This is an exceptional opportunity for recent graduates to gain hands-on experience in Data Analysis within a dynamic and innovative environment. As a Graduate Trainee, you will work closely with experienced data scientists and analysts, contributing to real-world projects that leverage data to drive business insights and strategic decisions. You will be involved in data collection, cleaning, transformation, and visualization, utilizing various tools and techniques. This program is designed to provide a comprehensive understanding of the data analysis lifecycle, from defining problems to presenting actionable findings. The ideal candidate possesses a strong analytical aptitude, a keen interest in data, and a solid foundation in statistical concepts. You will have the opportunity to develop your skills in programming languages such as Python or R, database management (SQL), and data visualization tools. This is a remote internship, requiring self-discipline, excellent communication skills, and the ability to collaborate effectively within a virtual team. We are looking for individuals who are eager to learn, possess strong problem-solving abilities, and are passionate about uncovering patterns and insights from complex datasets. This program will offer invaluable exposure to industry best practices and cutting-edge data analytics techniques. Key responsibilities will include:

Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
Performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Developing and implementing statistical models and algorithms for data analysis.
Creating clear and compelling data visualizations to communicate findings to stakeholders.
Supporting senior analysts in developing reports and dashboards.
Learning and applying various data analysis tools and techniques.
Collaborating with cross-functional teams to understand data requirements and project goals.
Contributing to data quality assurance and validation processes.
Assisting in the documentation of data analysis methodologies and findings.
Participating in team meetings and contributing to project discussions.

Required Qualifications: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Strong analytical and problem-solving skills. Foundational knowledge of statistical concepts and methods. Familiarity with programming languages such as Python or R is highly desirable. Basic understanding of SQL and database concepts. Eagerness to learn and adapt to new technologies and tools. Excellent written and verbal communication skills. Ability to work independently and as part of a remote team. Strong attention to detail and commitment to accuracy. A proactive attitude and a passion for data are essential.

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Junior Graduate Trainee - Data Analysis

215 Al Malikiyah, Northern BHD1500 Monthly WhatJobs

Posted today

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Job Description

intern

Our client, a forward-thinking data analytics firm, is offering a unique opportunity for a motivated and enthusiastic Junior Graduate Trainee to join their team in **Hidd, Muharraq, BH**. This is an ideal role for recent graduates looking to launch a career in data science and analytics. You will gain hands-on experience working with large datasets, learning to extract meaningful insights, and contributing to real-world business intelligence projects. This traineeship provides a comprehensive foundation in data analysis techniques and tools under the guidance of experienced professionals. Throughout the program, you will be involved in data cleaning, preprocessing, exploratory data analysis, and visualization. You will assist senior analysts in building predictive models and generating reports that inform strategic decision-making for our diverse client base. This role requires a strong analytical mindset, a keen attention to detail, and a passion for uncovering patterns and trends within data. You will have the opportunity to work with various analytical software and programming languages such as Python, R, and SQL, and develop proficiency in data visualization tools like Tableau or Power BI. We are looking for individuals who are eager to learn, possess excellent problem-solving skills, and can work collaboratively in a team environment. The ability to grasp new concepts quickly and apply them effectively is crucial. This traineeship is designed to provide a steep learning curve and a challenging yet rewarding experience. You will be encouraged to contribute your ideas and perspectives, playing an active role in the success of our projects. Upon successful completion of the traineeship, there may be opportunities for full-time employment based on performance and business needs. This is more than just an internship; it's a launchpad for a successful career in data analytics. **Qualifications:**

Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
Strong understanding of statistical concepts and data analysis principles.
Familiarity with programming languages such as Python or R is a plus.
Basic knowledge of SQL and database concepts is advantageous.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills.
Eagerness to learn and adapt to new technologies and methodologies.
Ability to work effectively both independently and as part of a team.
High level of attention to detail and accuracy.
Proactive and results-oriented attitude.
Prior internship or project experience in data analysis is beneficial but not mandatory.

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Geologist - Remote Sensing & Data Analysis (Remote)

510 Al Daih, Northern BHD85000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time

Our client, a pioneering firm in geological surveying and resource exploration, is seeking a skilled Geologist with expertise in Remote Sensing and Data Analysis to join their innovative team on a fully remote basis. This position is ideal for a professional who thrives on interpreting spatial data and applying advanced analytical techniques to uncover geological insights. The successful candidate will be responsible for acquiring, processing, and analyzing satellite imagery, aerial photographs, and other remote sensing data to identify geological features, mineral deposits, and potential hazards. You will utilize a range of GIS (Geographic Information System) and remote sensing software packages to create geological maps, interpret subsurface structures, and assess land surface changes. Key responsibilities include developing and implementing remote sensing methodologies, performing data fusion with other geological datasets (e.g., geophysical, geochemical), and contributing to the interpretation of large-scale geological surveys. The ideal candidate will possess a strong understanding of geological principles and a proven ability to apply remote sensing techniques to geological problems. Experience with spectral analysis, image classification, and familiarity with geological databases are highly desirable. We are looking for an individual with excellent analytical and problem-solving skills, strong programming capabilities (e.g., Python, R), and the ability to communicate complex technical information clearly and concisely. A Master's degree or Ph.D. in Geology, Earth Science, Geophysics, or a related field, with a specialization in remote sensing or GIS, and at least 5 years of relevant industry experience is required. This remote role offers the flexibility to contribute to significant exploration and environmental projects from any location, collaborating with a team of experts across the globe. You will play a crucial role in leveraging cutting-edge technology to enhance our understanding of the Earth's geology.

Responsibilities:

Acquire, process, and analyze remote sensing data (satellite imagery, aerial photos).
Interpret spectral and spatial characteristics of geological features.
Develop and apply GIS and remote sensing methodologies for geological mapping.
Conduct data fusion with geophysical and geochemical datasets.
Assess geological formations, mineral potential, and environmental impacts.
Utilize programming languages for data analysis and automation.
Generate geological maps and interpret subsurface structures.
Prepare technical reports and present findings to project teams.
Collaborate with geoscientists and engineers remotely.

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Senior Geologist - Remote Sensing and Data Analysis

BH24 Northern, Northern BHD130000 Annually WhatJobs

Posted today

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Job Description

full-time

Our client, a leading mining exploration company, is seeking a highly skilled Senior Geologist with expertise in remote sensing and data analysis. This is a fully remote position, allowing you to contribute your geological knowledge from anywhere. You will be responsible for leveraging advanced remote sensing techniques and sophisticated data analysis tools to identify and evaluate potential mineral deposits. This role is critical for expanding our exploration footprint and maximizing resource discovery.

Your duties will encompass:

Interpreting satellite imagery, aerial photography, and other remote sensing data for geological mapping and target identification.
Utilizing GIS and specialized software to process, analyze, and visualize geological datasets.
Developing and implementing geological models based on integrated data sources, including geophysical and geochemical information.
Assessing the economic viability of prospective mineral deposits based on geological and remote sensing data.
Collaborating with exploration teams to plan and prioritize field work.
Preparing detailed geological reports, presentations, and recommendations for exploration strategy.
Staying current with the latest advancements in remote sensing technology and geological interpretation techniques.
Mentoring junior geologists and contributing to knowledge sharing within the team.

The ideal candidate will hold a Master's or Ph.D. in Geology or a related field, with a strong emphasis on remote sensing and data analysis. A minimum of 7 years of relevant experience in mineral exploration is required. Proficiency in software such as ERDAS Imagine, ENVI, ArcGIS, and geological modeling packages is essential. Excellent analytical, problem-solving, and communication skills are a must.

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Agricultural Technology Lead - Remote Sensing & Data Analysis

205 Galali BHD85000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time

Our client, an innovative agricultural technology firm, is seeking a motivated Agricultural Technology Lead to spearhead advancements in remote sensing and data analysis for modern farming practices. This fully remote position requires a forward-thinking individual who can leverage cutting-edge technologies to optimize crop yields, resource management, and sustainability. You will be responsible for developing and implementing strategies for acquiring and analyzing data from satellite imagery, drone surveys, and other remote sensing platforms. Your role will involve interpreting complex datasets to provide actionable insights to farmers and agricultural stakeholders. Key responsibilities include selecting and managing sensor technologies, developing data processing pipelines, and creating visualizations and reports that communicate findings effectively. The ideal candidate will have a strong background in agricultural science, environmental science, or a related field, combined with expertise in GIS, remote sensing software (e.g., ENVI, ArcGIS), and data analytics tools (e.g., Python, R). Proven experience in agricultural data interpretation and a passion for sustainable farming solutions are essential. Excellent communication and presentation skills are required to convey technical information to non-technical audiences. You will work collaboratively with a remote team of experts, contributing to the development of next-generation agricultural solutions. This is an exceptional opportunity to shape the future of agriculture through technology, working from anywhere. Join our mission to revolutionize farming from **Sanad, Capital, BH** and beyond.

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DATA ENGINEER

Manama, Capital Minds United

Posted today

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Job Description

Job Title: Data Engineer

Professional Training: SQL Development, SAS EG, SAS DI, Object-oriented Programming (e.g., C#, Java)

Experience: At least 3 years in relevant roles

Job Description

We are seeking a Data Engineer with expertise in:

Developing within databases, specifically Microsoft SQL Server and/or Oracle
Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio
SAS Information Maps, SAS BI, SAS Stored Processes, SAS Datasets & Libraries
Configuring and installing applications on servers (Windows/Linux/Unix), with basic knowledge of DNS, Ports, and Firewalls
Managing distributed systems and clusters for batch and streaming data (Hadoop/Spark, Kafka/Flink)
Handling semi-structured data formats such as JSON and XML
Programming in C# or Java
Writing advanced SQL queries, stored procedures, and functions
Experience with ETL tools like SAS DI, SAS Enterprise Guide, and Microsoft SQL Server
Understanding of financial reporting (Balance Sheet, Profit and Loss) and risk reporting

Job Responsibilities

Consolidate and analyze financial data, including budgets, forecasts, and statements
Build stored procedures and ETL jobs for data reconciliation
Contribute to data warehouse design and database solutions
Develop SQL Server T-SQL procedures/functions for batch processing and reporting
Create SAS EG and SAS DI jobs
Research and resolve financial data discrepancies, manage month-end closing processes
Solve complex problems, perform testing and troubleshooting

Skills

Regulatory compliance
ETL/ETT/ETM tools and processes
Data warehouses and marts
Financial data modeling and analysis

Technology Tools: SAS, SAS BI, MS SQL Server, T-SQL

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IoT Data Engineer

Canonical

Posted 1 day ago

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Job Description

workfromhome

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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Junior Data Engineer

Canonical

Posted 5 days ago

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Job Description

workfromhome

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.

Seniority level

Seniority level Entry level

Employment type

Employment type Full-time

Job function

Job function Information Technology
Industries Software Development

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18 Hadoop jobs in Bahrain

Graduate Trainee - Data Analysis

Job Description

Graduate Programme - Data Analysis

Job Description

Graduate Trainee - Data Analysis

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Junior Graduate Trainee - Data Analysis

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Geologist - Remote Sensing & Data Analysis (Remote)

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Senior Geologist - Remote Sensing and Data Analysis

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Agricultural Technology Lead - Remote Sensing & Data Analysis

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DATA ENGINEER

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IoT Data Engineer

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Junior Data Engineer

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