43 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: 000 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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Responsibilities:

1. Responsible for the sales data analysis of KA channels.
2. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions.
3. Coordinate the access of various products to KA channels in different countries and follow up on sales performance.

Qualifications:

1. More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
2. Experience in sales management of KA channels and familiarity with the business model of KA channels.
3. Proficient in using Excel for data analysis.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst

Industries

• Technology, Information and Media

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Xiaomi Technology. Responsibilities: Responsible for the sales data analysis of KA channels. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions. Coordinate the access of various products to KA channels in different countries and follow up on sales performance. Qualifications: More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred. Experience in sales management of KA channels and familiarity with the business model of KA channels. Proficient in using Excel for data analysis. Seniority level

Entry level Employment type

Full-time Job function

Analyst Industries

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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)
  

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Job Description

Role: Data Engineer

Location: Doha, Qatar

Position Type: Full-Time / Onsite / Contract 1 year renewable

Language requirement: English language is required; Arabic is preferred but not mandatory.

Role Description

The Data Engineer is responsible for building, managing, and optimizing data pipelines and ensuring data flow from source to destination. This role requires expertise in data architecture, data lakehouse, data warehousing, and data integration. You will work closely with data architects, data analysts, and business system owners to deliver high-quality data ingestion solutions that meet business needs.

Key Responsibilities

1. Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources.
2. Automate data workflows to ensure data is processed consistently and reliably.
3. Design and implement scalable and secure data solutions using Azure analytics services, Azure SQL Database, and/or Databricks. OAC experience is desired but not necessary.
4. Develop and maintain data storage solutions, including data warehouses, data lakes, and databases, ensuring optimal performance and cost efficiency.
5. Implement and maintain data quality checks to ensure data accuracy and consistency.
6. Implement security measures to protect sensitive data, including encryption and access control.
7. Identify, troubleshoot, and resolve issues related to data pipelines, storage, and processing.
8. Monitor and optimize the performance of data pipelines, databases, and queries.

Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Must Have

• 5+ years of experience in data engineering.
• Proven hands-on experience in data pipeline design and development on Azure cloud platform.
• 5+ years experience developing solutions using Azure Data Factory and Databricks.
• Proficiency in at least one scripting language such as Python, PowerShell, JavaScript, or Scala.

Nice To Have

• Previous experience with Informatica IICS data governance or IDQ is a strong plus.
• MS Power BI Development experience is good to have.
• Experience with Oracle Analytics Cloud is a strong plus.

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We are seeking a skilled Informatica Data Engineer to join our team. The successful candidate will have a minimum of five years of experience in data engineering, with expertise in the Informatica suite, including Informatica Data Governance and Data Quality. The role involves designing, developing, and optimizing data integration workflows, ensuring high-quality data standards, and supporting data governance initiatives.

The Role

You will be responsible for:

1. Design, develop, and maintain ETL processes using Informatica PowerCenter and other Informatica tools.
2. Implement and manage data quality processes using Informatica Data Quality (IDQ).
3. Support data governance initiatives by leveraging Informatica Data Governance solutions.
4. Develop data pipelines and workflows to integrate data from multiple sources.
5. Optimize performance of data integration processes and troubleshoot issues.
6. Collaborate with business analysts and data architects to understand data requirements.
7. Ensure compliance with data governance and security policies.
8. Perform data profiling, cleansing, and enrichment to improve data accuracy and reliability.
9. Document technical solutions and maintain best practices for data engineering.
10. Identify, troubleshoot, and resolve issues related to data pipelines, storage, and processing.

Ideal Profile

1. Minimum of 5 years of experience in data engineering using Informatica suite.
2. Hands-on experience with Informatica Data Management Cloud (IDMC), Informatica Data Quality (IDQ) and Informatica MDM.
3. Strong knowledge of ETL development, data integration, and data transformation techniques.
4. Experience with SQL and relational databases such as Oracle, SQL Server, or PostgreSQL.
5. Familiarity with cloud platforms such as Azure or Oracle Cloud.
6. Strong analytical and problem-solving skills.
7. Excellent communication and collaboration abilities.

What's on Offer?

1. Work within a company with a solid track record of success.
2. Work alongside & learn from best in class talent.
3. Join a well-known brand within IT Services.

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Join to apply for the Data Engineer role at Leidos

Join to apply for the Data Engineer role at Leidos

This range is provided by Leidos. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$104,650.00/yr - $89,175.00/yr

Description

Job Description

Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Data Engineer to support APOLLO/OPIAS in Tampa, FL. This role provides mission-critical support to Joint and Special Operations Forces (SOF) by designing, building, and maintaining scalable data infrastructure and pipelines that enable the planning, execution, and assessment of influence operations within the Irregular Warfare (IW) and Operations in the Information Environment (OIE). With expertise in cloud platforms, ETL frameworks, and both structured and semi-structured data, the data engineer ensures seamless ingestion, transformation, and normalization of diverse data sources—including social media, OSINT, SIGINT, cyber, and psychological operations platforms. The position will be responsible for providing OIE planners, analysts, and commanders with timely, mission-relevant data access for real-time alerting, influence mapping, and trend analysis. This position is on a future contract pending award announcement.

Possible locations for this position are as follows:

• MacDill (Tampa, FL)
• Al Udeid (Qatar)
• Fort Meade (Maryland)
• Northcom (Colorado Springs, CO)
• Camp Humphreys (Korea)
• Arifjan (Kuwait)
• Joint Base Pearl Harbor-Hickam (Hawaii)
• Fort Eisenhower (Georgia)
• Offutt AFB (Omaha, NE)
• Naval Operating Base Norfolk (Virginia)
• Southcom (Doral, FL)
• JB San Antonio (Texas)
• Stuttgart (Germany)
• Vicenza (Italy)
• Tyndall AFB (Florida)
  
  

Key Responsibilities

• Conduct analysis of structured and semi-structured data sets to identify the effective integration for mission use.
• Design, build, and maintain the data infrastructure and pipelines that support the planning, execution, and assessment of influence operations.
• Review existing and emerging technical capabilities and offer recommendations on its potential value to enables OIE planners, analysts, and commanders to access, analyze, and operationalize large-scale datasets—often derived from social media, open-source intelligence (OSINT), cyber, SIGINT, or psychological operations platforms.
  
  

Basic Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
• 8+ years of experience in data engineering or ETL pipeline development
• Experience with data ingestion, transformation, and normalization from diverse structured and unstructured sources
• Experience deploying in cloud environments (AWS, Azure, or GCP)
• Proficient in Python and at least one ETL framework (e.g., Airflow, NiFi, Luigi)
• Strong knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL)
• Familiarity with version control tools (e.g., Git) and collaborative DevOps practices
• Ability to work in cross-functional teams alongside analysts, developers, and IO planners
• Strong documentation, communication, and troubleshooting skills
• Active TS/SCI security clearance
  
  

Preferred Qualifications

• Master’s degree in a technical discipline
• Experience supporting Information Operations, PSYOP/MISO, or WebOps
• Experience with data lake architecture, graph databases (e.g., Neo4j), or NoSQL stores (e.g., MongoDB)
• Experience building pipelines that support real-time alerting, trend analysis, and influence mapping
• Proficiency with data visualization frameworks (e.g., Kibana, Grafana, Plotly, or D3.js)
• Familiarity with OSINT data platforms (e.g., Babel Street, Echosec, Talkwalker, Pulsar, Meltwater, Maltego)
• Familiarity with containerized environments (Docker, Kubernetes)
• Understanding of foreign language datasets or multilingual processing (NLP/NLU in Arabic, Russian, Chinese, etc.)
• Background in API integration with social media platforms or dark web forums
  
  

EIO2024

Original Posting

July 25, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $104,650 00 - 189,175.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

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

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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)

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Job Description Role: Data Engineer Location: Doha, Qatar Position Type: Full-Time / Onsite / Contract 1 year renewable Language requirement: English language is required; Arabic is preferred but not mandatory. Role Description The Data Engineer is responsible for building, managing, and optimizing data pipelines and ensuring data flow from source to destination. This role requires expertise in data architecture, data lakehouse, data warehousing, and data integration. You will work closely with data architects, data analysts, and business system owners to deliver high-quality data ingestion solutions that meet business needs. Key Responsibilities Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources. Automate data workflows to ensure data is processed consistently and reliably. Design and implement scalable and secure data solutions using Azure analytics services, Azure SQL Database, and/or Databricks. OAC experience is desired but not necessary. Develop and maintain data storage solutions, including data warehouses, data lakes, and databases, ensuring optimal performance and cost efficiency. Implement and maintain data quality checks to ensure data accuracy and consistency. Implement security measures to protect sensitive data, including encryption and access control. Identify, troubleshoot, and resolve issues related to data pipelines, storage, and processing. Monitor and optimize the performance of data pipelines, databases, and queries. Qualifications Education:

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. Must Have 5+ years of experience in data engineering. Proven hands-on experience in data pipeline design and development on Azure cloud platform. 5+ years experience developing solutions using Azure Data Factory and Databricks. Proficiency in at least one scripting language such as Python, PowerShell, JavaScript, or Scala. Nice To Have Previous experience with Informatica IICS data governance or IDQ is a strong plus. MS Power BI Development experience is good to have. Experience with Oracle Analytics Cloud is a strong plus.

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