60 Data Acquisition jobs in Qatar

BAE Systems Strategic Aerospace Services WLL | Full time Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC) Job Type: Full time Province: Ad Dawhah Country: Qatar Postal Code: Job Description

Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team. Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers. Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators. Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes. Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle. Develop data visualization models to support managers in their decision-making and the strategy planning cycle. Perform data modeling and reporting for the management team from education and health sectors. Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups. Analyze existing tools and databases and provide software solution recommendations. Write comprehensive reports for directorate management team. Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python. Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC. Analyzing results with statistical evidence to support KPIs, L&D performance, and quality. Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes. Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required. Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting. Developing data management and knowledge management skills for team members and those supporting the learning and development cycle. Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle. Benchmarking effective knowledge management models, practice, and tools for health care workforce development. Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard. Providing technical expertise in data storage structures, data mining, and data cleansing. Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes. Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models. The incumbent will undertake any such appropriate duties or responsibilities as directed. Ensure high standards of confidentiality to safeguard any sensitive information. Requirements

Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred. Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management. 5 years’ experience in a specialist data analyst role working in the education or health sector. Other professional experience being considered for this role as an essential requisite includes: Management of health care data or business intelligence experience. IT professional certification, programming and statistical software, and data management. Developing data management, analysis, and reporting skills for team members. Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams. Strong verbal, presentation, and written communication skills. An analytical mind for problem-solving, making recommendations for performance and quality improvements. Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail. Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice. Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC. Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge. Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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JOIN OUR TEAM AT GENIUS SPORTS!

WHO ARE WE?

Genius Sports is the official data, technology, and commercial partner driving the connection between sports, betting, and media on a global scale. Our mission is to create a more sustainable sports data network powered by rich, official live data. To achieve this, we're seeking enthusiastic Statisticians to join our team and collect match data while attending live sporting events.

ARE YOU PASSIONATE ABOUT FOOTBALL?

If you love football and want to be part of the action while getting paid, this is your opportunity! We are looking for individuals in the Al Khor area to collect official live data from football events.

As a Statistician, you will use our user-friendly smartphone-enabled software to report live events, including every shot, goal, tackle, and save. Don’t worry if you lack previous reporting experience - we provide comprehensive e-learning courses and practical training to ensure you’re fully prepared to cover live games. This is the perfect chance for sports enthusiasts to earn extra income while doing something they love.

WHAT WE OFFER:

• Guaranteed base pay of €50 per game
• A performance-based reward system
• Coverage of travel expenses

If you’re eager to immerse yourself in the world of sports and want to be part of our global network of statisticians, we want to hear from you!

JOB REQUIREMENTS:

• Basic level in English
• Regular availability for a few hours on weekends and weekday evenings
• Familiarity with using a smartphone
• Willingness to travel
• A strong knowledge of football
• Reliability, commitment, organization, and integrity
• Exceptional attention to detail

GET TO KNOW US:

For more information about our mission and values, visit: Genius Sports

ARE YOU READY TO JOIN THE GENIUS SPORTS TEAM?

If you’re excited about this opportunity, we’d love to hear from you! Apply now and become a vital part of our team!

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Overview

Get AI-powered advice on this job and more exclusive features.

For most tech people of our Data & Consulting division, the title of "Data engineer" or "Software engineer" does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Data Engineer Desirable Skills

• Excellent communication & a consultative/problem-solving approach
• Strong programming skills (SQL & Python) is a MUST
• Data modelling and modern data platform design concepts
• Building and maintaining data platforms in Azure/AWS or GCP
• Experience building scalable and robust data pipelines
• Experience with dealing with data security in Azure/AWS or GCP

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Consulting

Industries

• Advertising Services, Business Consulting and Services, and Software Development

Overview

Get AI-powered advice on this job and more exclusive features.

For most tech people of our Data & Consulting division, the title of “Data engineer” or “Software engineer” does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true.

Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

Data Engineer Desirable Skills

• Excellent communication & a consultative/problem-solving approach
• Strong programming skills (SQL & Python) is a MUST
• Data modelling and modern data platform design concepts
• Building and maintaining data platforms in Azure/AWS or GCP
• Experience building scalable and robust data pipelines
• Experience with dealing with data security in Azure/AWS or GCP

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Consulting

Industries

• Advertising Services, Business Consulting and Services, and Software Development

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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.

Responsibilities and Duties

• 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.
  

Requirements

• 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)
  

#J-18808-Ljbffr

Overview

Get AI-powered advice on this job and more exclusive features. For most tech people of our Data & Consulting division, the title of “Data engineer” or “Software engineer” does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more. Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data & Software engineers are the ones who make our data projects come true. Mission

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability. You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating. Data Engineer Desirable Skills

Excellent communication & a consultative/problem-solving approach Strong programming skills (SQL & Python) is a MUST Data modelling and modern data platform design concepts Building and maintaining data platforms in Azure/AWS or GCP Experience building scalable and robust data pipelines Experience with dealing with data security in Azure/AWS or GCP Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Consulting Industries

Advertising Services, Business Consulting and Services, and Software Development

#J-18808-Ljbffr

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.

Responsibilities and Duties

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.

Requirements

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)

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The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

Responsibilities and Duties

• 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 other stakeholders to understand data requirements and ensure data availability and quality.
• Implement data governance, security, and regulatory standards in all data engineering activities.
• Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in data engineering technologies and best practices.
• Mentor and provide guidance to junior data engineers and other team members.
• Prepare and present data engineering reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management.

Requirements

• Bachelor's degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data - Specialty) are preferred.
• Minimum of 8 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, 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, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

Responsibilities and Duties

• 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 other stakeholders to understand data requirements and ensure data availability and quality.
• Implement data governance, security, and regulatory standards in all data engineering activities.
• Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in data engineering technologies and best practices.
• Mentor and provide guidance to junior data engineers and other team members.
• Prepare and present data engineering reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management.

Requirements

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred.
• Minimum of 8 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, 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, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

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