620 Data Team jobs in Saudi Arabia
Manager - Data Engineering
Posted 11 days ago
Job Viewed
Job Description
Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.
Must-Have:
- Minimum 10 years of proven experience in data management within the banking sector
- Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
- Proficiency in implementing data governance policies, developing data processing and storage solutions
- Must be fluent in Arabic and English
- Bachelor’s degree in computer science, IT, or equivalent
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified by the National Minority Supplier Development Council.
Acknowledgements from Industry Peers:
- Winner of Entrepreneur 360 Award (2019)
- IAOP Award; Ranked in the top 100 internationally
- Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
- Named one of the top ten fastest-growing businesses in Houston in 2016
- Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017
We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship.
Through strict adherence to these core values, we have achieved success beyond all documented forecasts and expectations. #J-18808-Ljbffr
Data Engineering Manager
Posted 11 days ago
Job Viewed
Job Description
Must-Have:
- 8+ years of experience in data engineering with at least 2–3 years in a managerial or lead capacity
- Strong experience with SQL, Python/Scala, and data architecture patterns in financial systems
- Hands-on experience with data platforms such as Hadoop, Spark, Snowflake, Redshift, or BigQuery
- Experience with banking core systems (e.g., Temenos, Finacle, FIS) and financial data integration is a strong advantage
- Familiarity with financial regulations and reporting standards (e.g., BCBS 239, MiFID II, GDPR)
Nice to Have:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- Certified Data Management Professional (CDMP)
- AWS/GCP/Azure Data Engineer Certifications
About Us:
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.
Acknowledgments from Industry Peers:
- Winner of Entrepreneur 360 Award (2019).
- IAOP Award; Ranked in top 100 internationally.
- Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America.
- Named one of the top ten fastest growing businesses in Houston in 2016.
- Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017.
Our Seven Pillars:
We rely on seven core values: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation. #J-18808-Ljbffr
Manager - Data Engineering
Posted today
Job Viewed
Job Description
Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.
Must-Have:- Minimum 10 years of proven experience in data management within the banking sector
- Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
- Proficiency in implementing data governance policies, developing data processing and storage solutions
- Must be fluent in Arabic and English
- Bachelor’s degree in computer science, IT, or equivalent
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified by the National Minority Supplier Development Council. Acknowledgements from Industry Peers:
- Winner of Entrepreneur 360 Award (2019)
- IAOP Award; Ranked in the top 100 internationally
- Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
- Named one of the top ten fastest-growing businesses in Houston in 2016
- Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017
We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship.
Through strict adherence to these core values, we have achieved success beyond all documented forecasts and expectations. #J-18808-Ljbffr
Data Engineering Manager
Posted today
Job Viewed
Job Description
Must-Have:
- 8+ years of experience in data engineering with at least 2–3 years in a managerial or lead capacity
- Strong experience with SQL, Python/Scala, and data architecture patterns in financial systems
- Hands-on experience with data platforms such as Hadoop, Spark, Snowflake, Redshift, or BigQuery
- Experience with banking core systems (e.g., Temenos, Finacle, FIS) and financial data integration is a strong advantage
- Familiarity with financial regulations and reporting standards (e.g., BCBS 239, MiFID II, GDPR)
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- Certified Data Management Professional (CDMP)
- AWS/GCP/Azure Data Engineer Certifications
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions. We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council. Acknowledgments from Industry Peers:
- Winner of Entrepreneur 360 Award (2019).
- IAOP Award; Ranked in top 100 internationally.
- Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America.
- Named one of the top ten fastest growing businesses in Houston in 2016.
- Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017.
We rely on seven core values: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation. #J-18808-Ljbffr
Senior Specialist - Data Engineering
Posted 2 days ago
Job Viewed
Job Description
Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
- Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop / Spark), Data Fusion, Composer(Airflow)
- Building distributed systems and data stores
- Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
- Configuration of Google Cloud Platform services
- Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
- Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
- Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
- Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
- Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
- Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
- Solid knowledge of Google’s BigQuery for effective data processing
- Proposing and implementing repetitive tasks automation.
- Providing support for development teams in deployment-related topics.
- Modernizing data lakes and data warehouses
Requirements
Senior Specialist - Data Engineering
Posted 11 days ago
Job Viewed
Job Description
Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods
Responsibilities- Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
- Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
- Building distributed systems and data stores
- Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
- Configuration of Google Cloud Platform services
- Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
- Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
- Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
- Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
- Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
- Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
- Solid knowledge of Google’s BigQuery for effective data processing
- Proposing and implementing repetitive tasks automation.
- Providing support for development teams in deployment-related topics.
- Modernizing data lakes and data warehouses
- 3 - 6 of years of experience as a data engineer or in a similar role.
- Technical expertise with data models, data mining, and segmentation techniques.
- Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
- Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
- Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Degree in Computer Science, IT, or similar field; a Master’s is a plus.
- Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus
Senior Specialist - Data Engineering
Posted today
Job Viewed
Job Description
Qiddiya Investment Company is looking for a skilled and innovative Senior Specialist - Data Engineer to join our technology team. As a Senior Data Engineer, you will use various methods to transform raw data into useful data systems. Collaborate closely with cross-functional teams to ensure the availability, reliability, and accessibility of data for analytics and decision-making purposes. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods
Responsibilities- Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Apache Spark, Apache Kafka, and Apache Airflow to ingest, process, and transform large volumes of data from various sources.
- Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
- Building distributed systems and data stores
- Collaborating with and supporting data science, marketing, and customer success teams in data acquisition and tool integration
- Configuration of Google Cloud Platform services
- Implement and optimize data storage solutions, including data warehouses (e.g., Amazon Redshift, Google BigQuery), data lakes (e.g., AWS S3, Azure Data Lake Storage), and NoSQL databases (e.g., MongoDB, Cassandra).
- Work closely with data architects to design and implement efficient data models using dimensional modeling techniques (e.g., star schema, snowflake schema) that support business requirements and enable effective data analysis.
- Collaborate with data scientists and analysts to understand data requirements and develop solutions to support advanced analytics and machine learning initiatives, including model training and deployment.
- Implement data quality checks, monitoring and custom scripts to ensure the accuracy, completeness, and reliability of data.
- Participate in troubleshooting and resolving data-related issues, ensuring timely resolution and minimal disruption to business operations.
- Stay updated on emerging technologies and best practices in data engineering, including cloud native solutions and serverless architectures, and contribute to the continuous improvement of data platforms and infrastructure.
- Solid knowledge of Google’s BigQuery for effective data processing
- Proposing and implementing repetitive tasks automation.
- Providing support for development teams in deployment-related topics.
- Modernizing data lakes and data warehouses
- 3 - 6 of years of experience as a data engineer or in a similar role.
- Technical expertise with data models, data mining, and segmentation techniques.
- Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
- Strong understanding of data modeling, ETL processes, data warehousing concepts, and data integration techniques.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services (e.g., AWS Glue, Azure Data Factory, Google BigQuery).
- Excellent problem-solving skills and attention to detail, with the ability to work effectively in a fast-paced environment and manage multiple priorities.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Degree in Computer Science, IT, or similar field; a Master’s is a plus.
- Data engineering cloud certification (e.g Google Certified Data Engineer) is a plus
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Associate - Data Engineering - D360 Bank
Posted today
Job Viewed
Job Description
- Preferred Qualifications
- A tertiary-level qualification in from an internationally / regionally recognized institution.
- Years & Nature of Experience
- Will be a fresh graduate with 3 years of experience in the same or a similar domain
- If with experience, would have been accountable for the completion of assigned tasks and project work and has developed a level of competence to carry out work independently
- Technical Competencies
- Data Management and Technologies
- Systems Integration
- Project Management
- Behavioural Competencies
- Communication
- Collaboration
- Problem solving
- Responsibilities
- Assist in Automate data collection and analysis processes, and data releasing and reporting tools
- Support on tools development to improve data flows between internal and/or external systems and data warehouse
- Facilitate data cleansing, enrichment, and data quality improvements
- Record data sources, models, and algorithms used and developed in past projects
- Assist with integration of data systems with existing infrastructure
- Work with stakeholders to understand the needs for data structure, availability, and accessibility
- Support translation of data needs into technical system requirements
- Support identification of internal and external data sources
- Support handling and logging of errors
- Monitor data system performance
This job has been sourced from an external job board.
Analyst Data Engineering - Dxc Technology
Posted today
Job Viewed
Job Description
- Contribute to data engineering tasks and projects, including data processing and data integration
- Support data pipeline development and maintenance
- Collaborate with colleagues to meet data requirements and ensure data quality
- Assist in data analysis for insights and reporting
- Follow data engineering standards and best practices
- Pursue opportunities for continuous learning and growth in the data engineering domain
- Learn from experienced data engineers and analysts within the team
- Use data engineering tools and techniques to accomplish tasks
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent combination of education and experience
- Typically, 2+ years of relevant work experience
- Proven experience in data engineering
- Proficiencies in data engineering tools and technologies
- A continuous learner that stays abreast with industry knowledge and technology
Other Qualifications
- Advanced degree in a relevant field a plus
- Relevant certifications, such as Google Cloud Professional Data Engineer or Cloudera Certified Data Analyst a plus
Job Requirements
null
This job has been sourced from an external job board.
Data Science Manager
Posted 4 days ago
Job Viewed
Job Description
About the team:
Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.
What you will do:
- Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
- Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
- Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
- Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
- Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
- Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
- Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
- Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.
What you will need:
- An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
- At least 8+ years of professional experience working in data science and machine learning teams.
- Strong experience in building, managing, and growing data science teams is essential.
- A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
- Experience launching new products and continuously improving them over time.
- Demonstrated ability to attract, retain, and nurture top-tier talent.
- A passion for fostering a culture of ownership, collaboration, and results.
- Excellent leadership, communication, critical thinking, and judgment skills.
- A strong motivation to make an impact and elevate the AI landscape in the region.