17 Data Pipelines jobs in Saudi Arabia
Data Architecture Specialist
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Role Summary:
The specialist, Data Architecture plays a crucial role in designing, implementing, and optimizing data architecture solutions to meet the organization's data management needs. This role involves developing data models, defining data standards, and ensuring data integrity and security across the enterprise business goals.
Job Duties & Responsibilities:
- Develop and maintain data architecture frameworks, standards, and policies to guide data management practices.
- Design and implement data models, databases, and data warehouses to support business requirements and analytics initiatives.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Define data governance processes and controls to ensure data quality, consistency, and compliance with regulatory requirements.
- Evaluate and select data management tools and technologies to support data integration, storage, and retrieval needs.
- Conduct data analysis and profiling to identify data quality issues, anomalies, and opportunities for improvement.
- Provide technical guidance and support to project teams and stakeholders on data architecture best practices and methodologies.
- Stay updated on emerging trends and technologies in data management and recommend innovative solutions to enhance data architecture capabilities.
Education & Experience:
- Bachelor's degree in computer science, Information Technology, or a related field.
- Minimum of 4 years of progressive experience in data architecture, database design, and data modeling roles.
- Deep knowledge in data modeling tools and techniques, such as ER diagrams, dimensional modeling, and data flow diagrams.
Skills:
- Excellent analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights.
- Excellent in designing conceptual, logical, and physical data models using tools such as ERwin, ER/Studio, or PowerDesigner.
- Ability to translate business requirements into data models that accurately represent the organization's data assets.
- Strong understanding of database design principles, normalization techniques, integration tools and indexing strategies.
- Experience with relational database management systems (RDBMS) and familiarity with schema design for performance and scalability.
- Familiarity with cloud-based data services and platforms, such as Amazon Redshift, Google BigQuery, or Azure SQL Database.
- Experience with cloud data migration, storage, and analytics solutions.
- Knowledge of data governance frameworks, policies, and procedures.
- Ability to establish data processes for managing data assets, defining data ownership, and ensuring data quality, integrity, and security.
- Understanding of data quality dimensions, metrics, and methodologies. Ability to implement data quality rules, validation checks, and cleansing processes to improve data accuracy, completeness, and consistency.
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, trends, and anomalies, and derive actionable insights to support business decision-making.
- Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Experience in preparing technical documentation, data dictionaries, and architectural diagrams.
- Ability to collaborate effectively with cross-functional teams, including business stakeholders, data engineers, data analysts, developers, and IT infrastructure teams.
- Experience in facilitating workshops, meetings, and discussions to gather requirements and drive consensus.
Data Architecture Manager
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Responsible for defining and leading the bank's enterprise data architecture to ensure alignment with digital transformation objectives, regulatory requirements, and data governance standards.
This role ensures data structures, integrations, and flows across the organization are optimized for scalability, security, and business intelligence enablement.
Key Responsibilities:
- Design and implement the enterprise data architecture framework, ensuring models, integrations, and standards are scalable, secure, and aligned with the bank's strategy.
- Lead the development and maintenance of conceptual, logical, and physical data models across enterprise domains, ensuring alignment with regulatory and business requirements.
- Oversee data flow design and governance, including integrations and APIs, to ensure accessibility and consistency of information across systems.
- Collaborate with business, IT, and data management teams to ensure architecture supports analytics, business intelligence, and data-driven decision-making.
Requirements
Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred).
5 years of experience in data architecture, modeling, and integration within banking or financial services.
Strong knowledge of data architecture frameworks (e.g., TOGAF, DAMA-DMBOK).
Experience with Azure Data Services, Snowflake, Informatica, or equivalent platforms.
Deep understanding of data governance, data quality, and metadata management.
Familiarity with regulatory data standards (SAMA, Basel, IFRS9).
Data Engineer / Data Integration
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Data Engineer / Data Integration
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Data Engineer / Data Integration
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Big Data Integration Expert
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- Integrate Big Data solutions with enterprise IT systems and cloud platforms.
- Conduct open-source integration projects for data lakes, warehouses, and pipelines.
- Design and develop end-to-end data warehouse solutions and custom Big Data applications.
- Implement robust data pipelines and ETL workflows for real-time and batch processing.
- Bachelor's degree in IT, Computer Science, Software Engineering, or related field.
- Minimum 7 years of experience in Big Data integration and implementation.
- Technical expertise in Big Data frameworks, ML, Data Modeling, ETL tools, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
- Strong experience with system integration, APIs, and distributed computing environments.
Senior Data Integration Developer
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Location: Open to onsite travel (Saudi Arabia, 36 months)
Experience Level: 6+ years (SAL1/SAL2)
Contract Role | Rate: Negotiable
Joining: Immediate
About the Role
We are looking for a Senior Data Integration Developer with strong expertise in SAP Data Intelligence to support a large-scale enterprise data program. The role involves designing, building, and optimizing SAP DI pipelines for seamless data ingestion, transformation, and integration across SAP and non-SAP systems.
Key Responsibilities
Design, develop, and deploy data integration pipelines in SAP Data Intelligence.
Integrate SAP and non-SAP data sources with focus on scalability and performance.
Implement data quality checks, metadata management, and monitoring.
Collaborate with MDM teams, functional consultants, and business analysts to meet integration requirements.
Troubleshoot issues, optimize workflows, and ensure pipeline efficiency.
Prepare technical documentation and handover materials.
Requirements
8+ years of data integration experience, with at least 3 years in SAP Data Intelligence.
Hands-on expertise in SAP DI Graphs, Operators, and connectivity with SAP HANA, S/4HANA, and cloud platforms.
Experience with data transformation, cleansing, and enrichment processes.
Proficiency in Python, SQL, and integration protocols (REST, OData, JDBC).
Strong problem-solving, debugging, and performance tuning skills.
Willingness to travel onsite to Saudi Arabia (36 months).
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Senior Data Integration Developer
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v#tgsa Hiring: SAP Senior Data Integration Developer
Location: Open to onsite travel (Saudi Arabia, 36 months)
Experience Level: 6+ years (SAL1/SAL2)
Contract Role | Rate: Negotiable
Joining: Immediate
About the Role
We are looking for a Senior Data Integration Developer with strong expertise in SAP Data Intelligence to support a large-scale enterprise data program. The role involves designing, building, and optimizing SAP DI pipelines for seamless data ingestion, transformation, and integration across SAP and non-SAP systems.
Key Responsibilities
Design, develop, and deploy data integration pipelines in SAP Data Intelligence.
Integrate SAP and non-SAP data sources with focus on scalability and performance.
Implement data quality checks, metadata management, and monitoring.
Collaborate with MDM teams, functional consultants, and business analysts to meet integration requirements.
Troubleshoot issues, optimize workflows, and ensure pipeline efficiency.
Prepare technical documentation and handover materials.
Requirements
8+ years of data integration experience, with at least 3 years in SAP Data Intelligence.
Hands-on expertise in SAP DI Graphs, Operators, and connectivity with SAP HANA, S/4HANA, and cloud platforms.
Experience with data transformation, cleansing, and enrichment processes.
Proficiency in Python, SQL, and integration protocols (REST, OData, JDBC).
Strong problem-solving, debugging, and performance tuning skills.
Willingness to travel onsite to Saudi Arabia (36 months).
Interested candidates can share their resume with the following details:
Current CTC
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Data Integration Technical Lead (Banking)
Posted 23 days ago
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**Oracle Financial Services Solutions** delivers AI-driven applications and cloud services that empower financial institutions to achieve operational efficiency, innovation, and customer-centricity. Our mission is to help banks and insurers thrive in the digital age by providing open, real-time, and intelligent technology solutions. With a global presence and a focus on data and analytics, we enable our customers to outpace competition and meet evolving regulatory and customer needs.
**What We Will Offer You**
Join a dynamic, global team where your expertise will drive impactful change. We offer competitive salaries, comprehensive benefits, and flexible working arrangements to support your work-life balance.
Access continuous learning and development opportunities to advance your career, along with wellness programs and a collaborative, inclusive culture that values diversity and innovation.
Learn more about life at Oracle ( role is based in Riyadh and there will be a requirement to work regularly on customer site.**
**#LI-VS2**
**Responsibilities**
**What You Will Do**
As a Technical Lead, you will oversee the design, development, and implementation of data integration processes for Oracle's banking customers. You will ensure data accuracy, performance, and scalability, while collaborating with stakeholders to gather requirements and create technical architecture.
+ Lead the end-to-end development cycle, from design to delivery, ensuring timely and high-quality solutions.
+ Create and maintain comprehensive technical documentation, including data models and mapping specifications.
+ Partner with cross-functional teams to gather requirements and translate them into scalable data solutions.
+ Identify and implement improvements to existing data models and processes for enhanced efficiency.
+ Act as a subject matter expert in data modeling, ETL, and Oracle PL/SQL, ensuring best practices are followed.
**What Will You Bring**
+ 8-10 Years experience
+ Proven experience as a Technical Lead, with expertise in data modeling and ETL.
+ Strong proficiency in Oracle PL/SQL and data integration tools.
+ Fluency in Arabic (written and spoken).
+ Ability to collaborate effectively with stakeholders and drive project success.
+ Experience in designing scalable, high-performance data solutions.
+ Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
+ Banking industry experience is preferred.
+ Knowledge of Oracle Financial Services products is a plus.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Data Engineering Manager
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Overview
Arthur Lawrence is urgently looking for a Data Engineering Manager for a client in Riyadh, KSA. Kindly review the Job requirements below. Your immediate application will enable us to place you successfully.
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 enables 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.
Acknowledgements 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 of 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 anticipation.
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