18 Data Engineering jobs in Bahrain

VAM Systems is currently looking for a Finance Data Engineering Analyst for our Bahrain operations with the following skillsets & terms and conditions:

• Bachelor’s Degree
• Engineer (B.E.)/ MCA
• Certification in SQL/SAS

5-8 years

• Support the finance team on data and analytics activities and Data Warehouse (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.

• Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
• Hands-on experience with MS Excel
• Prior project management/stakeholder management is desired

• Coordinate and interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
• Ensure accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss) through a comprehensive understanding of finance, risk, and data warehousing.
• Master the intersection of finance, data analysis, and data engineering.
• Review data quality and reconciliations for finance reports and maintain reporting logic/programs.
• Support the finance team in ad-hoc requests, organize data for financial/regulatory reports, perform data mapping, and conduct UAT.
• Ensure the consistency of the bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and Data Engineering teams to identify issues and develop sustainable data-driven solutions.
• Write and document complex SQL queries, procedures, and functions, creating algorithms that automate important financial interactions and data controls.
• Handle SAS ETL jobs, data transformation, validation, analysis, and performance tuning.
• Proficient in SAS tools including SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library.

Joining time frame: 15 - 30 days

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

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

• 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

• 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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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

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

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

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
  
  

• 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
  
  

• 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
  
  

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

Join to apply for the IoT Data Engineer role at Canonical

1 month ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

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

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

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

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

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

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

What your day will look like

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

• 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
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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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.

• Design, build, and maintain robust and scalable data pipelines for ingestion, transformation, and processing of large datasets.
• Develop and optimize ETL/ELT processes using various data integration tools.
• Implement and manage data warehousing solutions and data lakes.
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Build and maintain data models that support business intelligence and analytics initiatives.
• Automate data processes and monitor pipeline performance for efficiency and reliability.
• Write efficient and performant SQL queries and scripts.
• Stay current with emerging big data technologies and best practices in data engineering.
• Troubleshoot and resolve data-related issues.
• Contribute to the development of data governance policies and procedures.
• Mentor junior data engineers and share knowledge within the team.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 6 years of experience in data engineering, with a focus on building and managing data pipelines.
• Proficiency in programming languages such as Python, Scala, or Java.
• Extensive experience with big data technologies like Spark, Hadoop, and Kafka.
• Strong experience with cloud platforms such as AWS (S3, EMR, Redshift, Glue), Azure (Data Factory, Databricks), or GCP (BigQuery, Dataflow).
• Expertise in SQL and experience with various database technologies (relational and NoSQL).
• Solid understanding of data modeling, data warehousing concepts, and ETL/ELT processes.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving, analytical, and communication skills.
• Experience with data governance and data cataloging tools is beneficial.