64 Data Engineering jobs in Qatar

Overview

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at sprints
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is 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.

We are seeking a highly motivated and experienced Cloud Solution Architect (CSA) - Data to join our Customer Success Unit. This individual contributor role is pivotal in driving customer transformation through data and AI solutions on Microsoft Azure. As a CSA, you will lead technical engagements, shape data strategies, and deliver scalable, secure, and resilient architectures that unlock business value.

• Lead technical engagements and collaborate with enterprise customers, engineering teams, and internal stakeholders to accelerate adoption of Azure Data services.
• Shape data strategies and design scalable, secure, and resilient architectures that unlock business value through data and AI solutions on Microsoft Azure.
• Work with Azure Data services, including Databricks, Fabric, Cosmos DB, and Azure AI, to implement customer solutions.

Overview

We are seeking a highly motivated and experienced Cloud Solution Architect (CSA) – Data to join our Customer Success Unit. This individual contributor role is pivotal in driving customer transformation through data and AI solutions on Microsoft Azure. As a CSA, you will lead technical engagements, shape data strategies, and deliver scalable, secure, and resilient architectures that unlock business value.

• Lead technical engagements and collaborate with enterprise customers, engineering teams, and internal stakeholders to accelerate adoption of Azure Data services.
• Shape data strategies and design scalable, secure, and resilient architectures that unlock business value through data and AI solutions on Microsoft Azure.
• Work with Azure Data services, including Databricks, Fabric, Cosmos DB, and Azure AI, to implement customer solutions.

Deloitte
, established globally in 1845, is the world's largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.

Deloitte has a proud legacy in the Middle East region, with an uninterrupted presence since 1926, and is present across 23 offices in 15 countries with 7,000+ professionals in the Levant region and the wider GCC. We have served as trusted advisors for clients for almost 100 years and contributed to the advancements and growth of the professional services industry in the region.

We have received numerous awards in the last few years, such as Brand Finance's strongest and most valuable "commercial services" brand in the world for the 6th consecutive year (2024), the Great Place to Work and Best Workplaces in the UAE , the Great Place to Work and Best Workplaces in the KSA , "World's Most Attractive Employers" (2023), the Middle East Tax Firm of the year These awards are a recognition of how Deloitte makes an impact that matters to its clients, talent, and society.

We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.

Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

• Lead the way.
• Serve with integrity.
• Take care of each other.
• Foster inclusion.
• Collaborate for measurable impact.

Job Summary:
We are looking for a skilled Data Engineer - Power BI & ETL Specialist who can extract, transform, and prepare data from multiple sources and build robust Power BI dashboards and reports. The ideal candidate will have experience in SQL, Python, Power BI, and ETL tools like SSIS. This role involves integrating data from multiple systems such as ITSM, NOC, SOC, and Finance.

Key Responsibilities:

• Extract, clean, and transform raw data using SQL and Python

• Build and manage ETL pipelines using SSIS and other ETL tools

• Create curated datasets and structured data models for Power BI

• Design and develop Power BI dashboards, reports, and KPI/SLA scorecards

• Integrate data from systems like ITSM, NOC, SOC, and Finance platforms

• Write efficient SQL queries and stored procedures to support reporting needs

• Collaborate with business stakeholders to gather and analyze data requirements

• Perform ad-hoc data analysis and deliver custom datasets and reports

Required Skills:

• Strong proficiency in SQL (joins, CTEs, optimization)

• Experience with Power BI (data modeling, DAX, dashboards)

• Hands-on with Python for scripting and data manipulation

• Experience in building and managing ETL workflows (preferably SSIS)

• Familiarity with API integrations (REST/SOAP)

• Knowledge of systems like ServiceNow, Splunk, SAP, or similar is a plus

• Strong problem-solving and communication skills

Preferred Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field

• Experience working in IT Services or a similar fast-paced technology environment

• Knowledge of data governance and quality assurance best practices

Job Summary:
We are looking for a skilled Data Engineer – Power BI & ETL Specialist who can extract, transform, and prepare data from multiple sources and build robust Power BI dashboards and reports. The ideal candidate will have experience in SQL, Python, Power BI, and ETL tools like SSIS. This role involves integrating data from multiple systems such as ITSM, NOC, SOC, and Finance.

Key Responsibilities:

• Extract, clean, and transform raw data using SQL and Python

• Build and manage ETL pipelines using SSIS and other ETL tools

• Create curated datasets and structured data models for Power BI

• Design and develop Power BI dashboards, reports, and KPI/SLA scorecards

• Integrate data from systems like ITSM, NOC, SOC, and Finance platforms

• Write efficient SQL queries and stored procedures to support reporting needs

• Collaborate with business stakeholders to gather and analyze data requirements

• Perform ad-hoc data analysis and deliver custom datasets and reports

Required Skills:

• Strong proficiency in SQL (joins, CTEs, optimization)

• Experience with Power BI (data modeling, DAX, dashboards)

• Hands-on with Python for scripting and data manipulation

• Experience in building and managing ETL workflows (preferably SSIS)

• Familiarity with API integrations (REST/SOAP)

• Knowledge of systems like ServiceNow, Splunk, SAP, or similar is a plus

• Strong problem-solving and communication skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field

• Experience working in IT Services or a similar fast-paced technology environment

• Knowledge of data governance and quality assurance best practices

The Data Engineer handles thedesign, development, and maintenance of data pipelines, ETL processes, anddatabase management to support AI and data science initiatives. This roleinvolves ensuring data quality, scalability, and performance across all dataengineering activities.

• Design, develop, and maintain data pipelines, ETL processes,and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and otherstakeholders to understand data requirements and ensure data availability andquality.
• Implement data governance, security, and regulatorystandards in all data engineering activities.
• Optimize data pipelines and processes for scalability,performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of datasystems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in dataengineering technologies and best practices.
• Provide support and guidance to other team members asneeded.
• Prepare and present data engineering reports anddocumentation to senior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theSr. Data Engineer or senior management.
  

• Bachelor’s degree in Data Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalData Engineer, AWS Certified Big Data – Specialty) are preferred
• Minimum of 3 years of experience in data engineering orrelated fields
• Experience in designing and implementing data pipelines, ETLprocesses, and database systems for AI or technology-focused products
• Strong programming skills in languages such as Python, Java,or SQL
• Proficiency in data engineering tools and frameworks (e.g.,Apache Spark, Kafka)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of data engineering principles, ETLprocesses, and database management
• Familiarity with cloud platforms (e.g., AWS, Azure, GoogleCloud) and their data services
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, Java, SQL)
• Data engineering tools and frameworks (e.g., Apache Spark,Kafka)
• Data management systems (e.g., SQL, NoSQL databases)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)