13 Technology jobs in Dhahran

A leading Talent Acquisition Company is on the lookout for a forward-thinking and experienced Project Engineer - Technology Deployment to join our team for a prestigious company in Saudi Arabia. The successful candidate will be instrumental in overseeing the deployment of cutting-edge technologies across various projects, driving innovation and efficiency within the organization. This position is a fantastic opportunity for an individual passionate about technology and project management in the Oil & Energy sector.

Project Engineer is responsible to manage small scale projects ranging from $50K to $10MM. The projects are mainly technology deployment in the field of Material, Equipment, Inspection, Maintenance, Process and Control Engineering. Project Engineer will be responsible to build and review business case, assist in estimating and reviewing cost, validating benefits, and most importantly monitor and report progress of individual projects

• Lead the planning, coordination, and execution of technology deployment projects
• Evaluate and select appropriate technologies based on project requirements
• Collaborate with cross-functional teams to ensure successful technology integration
• Monitor project progress and performance, ensuring alignment with established objectives
• Identify potential risks and develop mitigation plans
• Train and mentor team members on new technologies and best practices
• Prepare and present project reports and updates to stakeholders

• Bachelor's degree in Engineering or a related field
• Minimum of 5 years of experience in project management, specifically in technology deployment
• Strong knowledge of emerging technologies and their applications in the Oil & Energy industry
• Demonstrated ability to manage multiple projects simultaneously
• Excellent communication and interpersonal skills
• Strong analytical and problem-solving abilities
• Fluency in English (Arabic language skills preferred)

PIPECARE Group is currently looking for Data Analyst to join our office in Dammam, Saudi Arabia .
The responsibility of the Data Analyst is to ensure that all tasks and projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office.


Key Responsibilities & Authorities

• • Checking and approving the tool performance during the PTT.
  • Checking the data quality of ILI runs.
  • Caliper Data Analysis.
  • MFL Data Analysis.
  • TFI Data Analysis.
  • Checking and implementing dig verification tasks at sites and preparing relevant reports.
  • Reviewing the software inter phase.
  • Reviewing software user manuals.
  • Preparing/Reviewing DAD quality documentation.
  • To ensure accurate tool sensitivity values are provided to TM in Tool Checklist.
  • To prepare a specific Run assessment report.
  • To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable).
  • To produce technically valid Preliminary / Final report.
  • To inform HO-DAD about the results and/or to implement the results into the reports.
  • To ensure that the coordinates are synchronized with the data.
  • To alert the R&D regarding the software problems.
  • To update the documentation.
  • To produce updated standard quality procedures.
  • To alert the DA Team Leader / DA Manager regarding the software problems.
  • Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role.

• • Bachelor’s degree in engineering/technology, OR related degree (preferred but not limited to GIS Field, petrochemical background, pipeline integrity).
  • Database development and implementation experience.
  • Process analysis, requirement / functional specification development experience.
  • Quality assurance of databases, reporting experience.
  • Experience of working on large, complex, and multiple databases.
  • Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab, and SPSS.
  • High ability to work with numbers.
  • Strong written and verbal communication skills.
  • Analytical mind which can process information logically.
  • Professional level of English language.

Physical and Mental Requirements:

• Lifting and Carrying: Ability to lift and carry up to 50 pounds.
• Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.
• Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.
• Focus and Multitasking: Ability to maintain focus and multitask effectively.
• Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
• Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.

About PIPECARE Group:

PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.

What we do:

In-Line Inspection Services

PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.

Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:

PIPECARE Group - YouTube

SMART AI CALIPER - Inspection experience like never befor e

Inspection Technologies

Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.

Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.

Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.

Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.

Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).

Specialized Tools and Technologies

Combo Tools: Use multiple measurement systems in various combinations.

Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.

Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Essential Qualifications and Skills:

· Campaign Monitoring: Track and monitor the performance of direct marketing campaigns (email, push notifications, SMS) to identify trends, inefficiencies, and opportunities for optimization.

· Reporting: Develop and maintain marketing performance reports and dashboards for management, highlighting key metrics and actionable insights.

· Vendor Management: Collaborate with Emarsys and XCM to ensure the smooth execution and optimization of marketing communications.

· Performance Governance: Manage the performance of marketing channels by monitoring key indicators and ensuring campaigns align with business goals.

· Ad-hoc Analysis: Conduct data-driven analyses, including market size estimations and market share calculations, to support strategic decision-making.

Requirements:

· Education: Bachelor’s degree in Marketing, Data Science, Statistics, or a related field.

Technical Skills:

o Proficiency in data analysis and visualization tools (e.g., Excel, Power BI).

o Experience with marketing platforms, especially Emarsys or similar tools, is a plus.

o Ability to write writing queries using tools such as MySQL, Google BigQuery, or similar platforms.

· Analytical Abilities: Strong analytical skills with attention to detail to identify trends and draw actionable insights.

· Communication: Ability to present findings effectively to non-technical stakeholders and management.

· Collaboration: A team player with the ability to work across multiple teams and with external vendors.

Preferred Qualifications

· Familiarity with digital marketing metrics and campaign performance tracking.

· Hands-on experience with reporting tools or building dashboards.

· Strong problem-solving skills with a focus on optimizing marketing strategies.

Master-Works is on the lookout for a talented Data Analyst to enhance our analytical capabilities. As a Data Analyst, you will play a crucial role in analyzing data trends, generating reports, and providing strategic insights that influence business decisions. Your expertise in data management and analysis will empower various teams at Master-Works to make informed choices based on data-driven evidence.

Key Responsibilities:

1. Analyze and interpret complex datasets to extract meaningful insights and trends.
2. Develop and maintain dashboards and reports to track key performance indicators.
3. Collaborate with cross-functional teams to define data needs and reporting requirements.
4. Utilize statistical methods to conduct rigorous analysis and support data-driven decision-making.
5. Ensure data accuracy and quality by performing checks and validations.
6. Communicate findings clearly through presentations and documentation.
7. Stay abreast of industry developments and integrate new methodologies into existing analysis practices.

Minimum Requirements:

1. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2. 5 years of experience in data analysis or a related field.
3. Nationality: Saudi.
4. Proficient in SQL, Excel, and data visualization tools such as Tableau or Power BI.
5. Strong analytical skills with the ability to work with large datasets and extract actionable insights.
6. Experience with statistical analysis techniques and methodologies.
7. Excellent verbal and written communication skills.
8. A team player who can work collaboratively in a fast-paced environment.

PIPECARE Group is currently looking for Data Analyst to join our office in Dammam, Saudi Arabia .
The responsibility of the Data Analyst is to ensure that all tasks and projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office. Key Responsibilities & Authorities

• • Checking and approving the tool performance during the PTT.
  • Checking the data quality of ILI runs.
  • Caliper Data Analysis.
  • MFL Data Analysis.
  • TFI Data Analysis.
  • Checking and implementing dig verification tasks at sites and preparing relevant reports.
  • Reviewing the software inter phase.
  • Reviewing software user manuals.
  • Preparing/Reviewing DAD quality documentation.
  • To ensure accurate tool sensitivity values are provided to TM in Tool Checklist.
  • To prepare a specific Run assessment report.
  • To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable).
  • To produce technically valid Preliminary / Final report.
  • To inform HO-DAD about the results and/or to implement the results into the reports.
  • To ensure that the coordinates are synchronized with the data.
  • To alert the R&D regarding the software problems.
  • To update the documentation.
  • To produce updated standard quality procedures.
  • To alert the DA Team Leader / DA Manager regarding the software problems.
  • Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role.

• • Bachelor’s degree in engineering/technology, OR related degree (preferred but not limited to GIS Field, petrochemical background, pipeline integrity).
  • Database development and implementation experience.
  • Process analysis, requirement / functional specification development experience.
  • Quality assurance of databases, reporting experience.
  • Experience of working on large, complex, and multiple databases.
  • Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab, and SPSS.
  • High ability to work with numbers.
  • Strong written and verbal communication skills.
  • Analytical mind which can process information logically.
  • Professional level of English language.

Physical and Mental Requirements:

• Lifting and Carrying: Ability to lift and carry up to 50 pounds.
• Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.
• Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.
• Focus and Multitasking: Ability to maintain focus and multitask effectively.
• Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
• Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.

About PIPECARE Group:

PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.

What we do:

In-Line Inspection Services

PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.

Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:

Inspection Technologies

Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.

Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.

Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.

Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.

Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).

Specialized Tools and Technologies

Combo Tools: Use multiple measurement systems in various combinations.

Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.

Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Master-Works is on the lookout for a talented Data Analyst to enhance our analytical capabilities. As a Data Analyst, you will play a crucial role in analyzing data trends, generating reports, and providing strategic insights that influence business decisions. Your expertise in data management and analysis will empower various teams at Master-Works to make informed choices based on data-driven evidence.

Key Responsibilities:

1. Analyze and interpret complex datasets to extract meaningful insights and trends.
2. Develop and maintain dashboards and reports to track key performance indicators.
3. Collaborate with cross-functional teams to define data needs and reporting requirements.
4. Utilize statistical methods to conduct rigorous analysis and support data-driven decision-making.
5. Ensure data accuracy and quality by performing checks and validations.
6. Communicate findings clearly through presentations and documentation.
7. Stay abreast of industry developments and integrate new methodologies into existing analysis practices.

Minimum Requirements:

1. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2. 5 years of experience in data analysis or a related field.
3. Nationality: Saudi.
4. Proficient in SQL, Excel, and data visualization tools such as Tableau or Power BI.
5. Strong analytical skills with the ability to work with large datasets and extract actionable insights.
6. Experience with statistical analysis techniques and methodologies.
7. Excellent verbal and written communication skills.
8. A team player who can work collaboratively in a fast-paced environment.

nybl is looking for our next generation of data scientists. We pride ourselves on growing our team and are always looking for the brightest talent to join us. Attitude is the most important trait we are looking for above all else. You will be working on transforming data into intelligence by developing innovative Artificial Intelligence (AI) solutions and integrating them with cutting-edge Internet of Things (IoT) technologies. Candidates must prove that they have the will, determination and ambition to be part of a team that's going to be the next Camel of the Middle East.

responsibilities

• work closely with nybl to identify issues and use data to propose solutions for effective decision making
• build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
• use machine learning tools and statistical techniques to produce solutions to problems
• test data mining models to select the most appropriate ones for use on a project
• maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• create clear reports that tell compelling stories about how customers or clients work with the business
• assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• horizon scan to stay up to date with the latest technology, techniques and methods
• conduct research from which you'll develop prototypes and proof of concepts
• stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

required skills, abilities, education, and experience

• Experience and knowledge in statistical and data mining techniques using (e.g., python, R, SQL)
• Experience and knowledge in applying advance Machine Learning techniques (e.g., Neural networks, supervised and unsupervised ML, computer vision and image processing, text analysis)
• Experience and knowledge in big data analysis and management and distributed computing tools (e.g., Hadoop, Hive, Spark)
• Experience and knowledge in one or more programming languages (C, C#, Java)
• Experience and knowledge in web development frameworks (javascript, React, node.js).
• Experience analyzing data from 3rd party providers: (e.g., Google Analytics, Site Catalyst, Facebook Insights)
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Willingness to learn new technology.
• Able to work independently on researching solutions and applying findings.
• KSA Nationals are preferred for KSA based roles - if you are outside of KSA, please apply through our remote job listings.

Responsibilities

·Analyzing sales data to identify trends and opportunities for improvement.

·Supporting inventory management through data analysis.

·Conducting performance analysis of various operational processes to assess efficiency and effectiveness.

·Monitoring key performance indicators (KPIs) related

·Generating regular reports and dashboards to track operational performance and provide insights for decision-making.

·Collaborating with other departments to optimize operations based on data insights.

Educational Background

·Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Technical Skills

·Proficiency in data analysis tools (e.g., SQL, Excel, Python, R).

·Experience with data visualization tools (e.g., Tableau, Power BI).

·Strong understanding of database management and data warehousing concepts.

·Familiarity with statistical analysis and predictive modelling techniques.

Communication Skills

·Excellent verbal and written communication skills.

·Ability to collaborate effectively with cross-functional teams.

Experience

·Previous experience in a data analyst role, preferably in retail or operations.

·Experience with inventory management and supply chain analytics is advantageous.

• Analyzing sales data to identify trends and opportunities for improvement.
• Supporting inventory management through data analysis.
• Conducting performance analysis of various operational processes to assess efficiency and effectiveness.
• Monitoring key performance indicators (KPIs) related
• Generating regular reports and dashboards to track operational performance and provide insights for decision-making.
• Collaborating with other departments to optimize operations based on data insights.
  
  

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  
  

• Proficiency in data analysis tools (e.g., SQL, Excel, Python, R).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of database management and data warehousing concepts.
• Familiarity with statistical analysis and predictive modelling techniques.
  
  

• Excellent verbal and written communication skills.
• Ability to collaborate effectively with cross-functional teams.
  
  

• Previous experience in a data analyst role, preferably in retail or operations.
• Experience with inventory management and supply chain analytics is advantageous.