44 Data Solutions jobs in Saudi Arabia
Data Architecture Specialist
Posted today
Job Viewed
Job Description
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
Posted today
Job Viewed
Job Description
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 Analytics Solutions Architect
Posted today
Job Viewed
Job Description
Design and develop scalable data architecture and frameworks that support analytics initiatives.
Collaborate with business units to translate their requirements into technical solutions.
Provide technical leadership in the deployment of analytics platforms and tools.
Ensure data integrity, quality, and security across analytics systems.
Mentor and guide data analysts and other technical staff on best practices in analytics and data science.
Stay abreast of industry trends and emerging technologies to enhance analytics capabilities.
Develop and maintain documentation of architecture designs, processes, and analytics best practices.
Desired Candidate ProfileBachelor s degree in Computer Science, Data Science, Information Technology, or a related field.
Proven experience as a Data Architect or Solutions Architect with a focus on data analytics.
Strong experience in data modeling, ETL processes, and data warehousing concepts.
Proficiency in analytics tools such as Tableau, Power BI, or similar platforms.
Deep understanding of SQL and database management systems.
Experience with programming languages like Python or R for data processing and analysis.
Excellent analytical and problem-solving skills, with a strong attention to detail.
Strong communication skills to effectively collaborate with both technical and non-technical stakeholders.
Ability to lead projects and mentor team members in best practices.
Preferred Qualifications:
Master s degree in a relevant field.
Experience in deploying analytics solutions in cloud environments (e.g., AWS, Azure).
Relevant certifications in data architecture or data analytics (e.g., Microsoft Certified: Azure Solutions Architect).
SMP - Data Scientist / Digital Solutions Analyst
Posted today
Job Viewed
Job Description
Job Title Data Scientist / Digital Solutions Analyst / Digital Solutions Specialist
Salary Code 11
Preferred Gender Male
Preferred Nationality Any
Minimum Job requirements leads a multidisciplinary team to execute and deliver digital and AI projects for Gas Plants starting from solution scouting, scooping, PoC, deployment, evaluation and value tracking.
Originates and carries out studies to identify potential advanced analytics use cases and applications to existing problems resolve complex technical problems, increase revenue, optimize processes, protect the environment, or improve safety using their advanced analytics/data science background.
Examines the business problem and identifies the required learning task (i.e. classification, clustering, regression, forecasting … etc.)
Selects appropriate Machine Learning algorithms suited for the selected learning task and condition/structure of the data. This includes but not limited to Decision Trees/Forest, Support Vector Machines, kNN, Neural Network and Deep learning.
Builds and deploys predictive models using algorithms such as linear/logistic/dynamic regression to address the business needs.
Selection criteria Degree, skills, experience
Preferred major study in the bachelor degree BS in Chemical Engineering, Mechanical Engineering, Computer Science, Electrical Engineering or Computer Engineering or other related degree from an accredited university. Advanced degree in an engineering discipline with focus on machine learning, artificial intelligence, applied statistics or operations research is desirable.
Specify work experience Statistics, Machine Learning, Time Series, Deep Learning, NLP, Foundation Models
Knowledge of Python, API & other machine learning frameworks is a must.
Experience with selecting appropriate machine learning algorithms, building predictive and forecasting models, and solution deployment and maintenance is desirable.
Experience with deployment of advanced analytics solutions based on machine learning techniques in upstream and downstream processes will be an asset.
Knowledge of plant automation systems, standard real time interfaces such as OPC and process historians such as PI is desirable.
Experience with identification of new advanced analytics use cases, business value quantification and working with multi-disciplinary teams on delivering analytics solutions will be an asset.
Awareness of Digital Transformation area and experience with delivering Digitalization initiatives will be an asset.
Preferred certificate No preference
Preferred skills Programming Languages: Python, JAVA, C
ML, GenAI & Other Technology stack: Scikit-learn, NLTK, SpaCy, Gensim, SciPy, TensorFlow, Keras, Pandas, PyTorch, Huggingface Transformers, LangChain, Ollama, IBM watsonx, Watson Discovery, Elastic, Milvus, FAISS, Streamlit for web UI development, REST API creation using FastAPI, ArcGIS
Fresh graduate or experience Experience
Work Location Dhahran
Data Engineer / Data Integration
Posted today
Job Viewed
Job Description
Data Engineer / Data Integration
Posted today
Job Viewed
Job Description
Data Engineer / Data Integration
Posted today
Job Viewed
Job Description
Be The First To Know
About the latest Data solutions Jobs in Saudi Arabia !
Big Data Integration Expert
Posted today
Job Viewed
Job Description
- 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
Posted today
Job Viewed
Job Description
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).
Senior Data Integration Developer
Posted today
Job Viewed
Job Description
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
Expected CTC
Current Location
Send to (your email/contact placeholder)