23 Big Data jobs in Bahrain

COMPANY OVERVIEW

At ARRAY, we’re not just another software services company—we’re a team of dreamers, innovators, and trailblazers! From startup grit to big-tech aspirations, we’re on a mission to redefine technology, put Bahrain on the global tech map, and grow into a powerhouse that inspires. If you’re ready to be part of an exciting journey, we want you on our team!

Selection process: coding test and 2 technical interviews

KEY RESPONSIBILITIES

• Data Modelling: Develop schemas and data structures for AI-drive applications.

• ETL Cloud Architecture: Design and build scalable data pipelines and infrastructure on AWS, Azure or GCP.

• Data Governance: Implement data role-based access control, reconciliation and quality monitoring processes and ensure compliance with data regulation.

MUST-HAVE SKILL

• Bachelor’s degree in Computer Science or STEM based subject.

• 5+ years of experience in data or software engineering.

• Strong programming skills in SQL and Python or Java as a Data Engineer.

• Expertise in data modelling and warehousing. • Experience with unstructured data stores like Vector DBs, Document DBs, etc.

• Experience in the data ecosystem on AWS, Azure or GCP.

• Strong written and verbal English communication skills.

NICE-TO-HAVE SKILLS

• Experience in creating data analytics dashboards and reports using business intelligence tools.

• AWS, Azure or GCP certification.

• Experience with CI/CD and distributed systems.

• Knowledge of data streaming technologies and big data frameworks.

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At ARRAY, we’re not just another software services company—we’re a team of dreamers, innovators, and trailblazers! From startup grit to big-tech aspirations, we’re on a mission to redefine technology, put Bahrain on the global tech map, and grow into a powerhouse that inspires. If you’re ready to be part of an exciting journey, we want you on our team!

Selection process: coding test and 2 technical interviews

KEY RESPONSIBILITIES

• Data Modelling: Develop schemas and data structures for AI-drive applications.

• ETL Cloud Architecture: Design and build scalable data pipelines and infrastructure on AWS, Azure or GCP.

• Data Governance: Implement data role-based access control, reconciliation and quality monitoring processes and ensure compliance with data regulation.

MUST-HAVE SKILL

• Bachelor’s degree in Computer Science or STEM based subject.

• 5+ years of experience in data or software engineering.

• Strong programming skills in SQL and Python or Java as a Data Engineer.

• Expertise in data modelling and warehousing. • Experience with unstructured data stores like Vector DBs, Document DBs, etc.

• Experience in the data ecosystem on AWS, Azure or GCP.

• Strong written and verbal English communication skills.

NICE-TO-HAVE SKILLS

• Experience in creating data analytics dashboards and reports using business intelligence tools.

• Experience with CI/CD and distributed systems.

• Knowledge of data streaming technologies and big data frameworks.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at ARRAY INNOVATION by 2x

Al Khobar, Eastern, Saudi Arabia 1 month ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 3 months ago

Manama, Capital Governorate, Bahrain 1 year ago

Manama, Capital Governorate, Bahrain 3 days ago

Manama, Capital Governorate, Bahrain 1 month ago

Al Khobar, Eastern, Saudi Arabia 1 month ago

Manama, Capital Governorate, Bahrain 3 days ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 4 months ago

Southern Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 8 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 3 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 4 days ago

Manama, Capital Governorate, Bahrain 23 hours ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 2 weeks ago

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About Calo

Launched in Bahrain in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

Our tech sits at the heart of our product, and we’re looking for experienced people who are passionate about their work, think about the best possible ways to process data, understand the importance of data, and keep up with the latest technology. You’ll be playing a major role as part of our platform team.

Main Responsibilities

• Design, build, and improve the infrastructure for ingesting, storing, and transforming data
• Design, build, and enhance dimensional models for Data Warehouse and BI solutions
• Work with other departments and support them with their data initiatives
• Document new and existing models, solutions, and implementations

Ideal Candidate

Qualifications

• 5+ years of hands-on professional experience in data engineering-related roles
• Experience in building and maintaining data platforms from scratch
• Experience with AWS (Redshift, Glue, Lambda, S3, Kinesis, Athena)
• Experience with BI solutions
• Advanced skills with Python and SQL
• AI experience is a plus

Personality

• Strong communicator
• Pleasant personality and able to lead with empathy and patience

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
  
  

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
  
  

• 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
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 7 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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 lookout 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.

What your day will look like

1. Utilise advanced data analytics to grow Canonical's product adoption and market penetration
2. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
3. Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
4. Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
5. 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?

1. Background in data science, mathematics, actuarial science, or engineering
2. Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
3. Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
4. Ability to translate business questions to key research objectives
5. Ability to identify the best methodology to execute research, synthesise and analyse findings
6. Excellent writing and communication skills
7. 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

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.

2 months ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at SWATX by 2x

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Manama, Capital Governorate, Bahrain 3 weeks ago

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• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
  
  

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
  

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
  
  

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
  
  

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.
  
  

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus
  
  

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

• Design, build, and deploy ML/AI models for:
  • Personalized investment recommendations
  • Smart content curation
  • Behavioral and predictive analytics
  • Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus