Al Safi Danone Company Jobs KSA 2026 – Apply Now
Introduction
Al Safi Danone Company is offering job opportunities in Saudi Arabia for candidates with experience in sales supervision, dairy sales, food and beverage distribution, data engineering, cloud platforms, Microsoft Fabric, OneLake, Python, and data pipeline development.
The available vacancies are Sales Supervisor and Data Engineer.
These roles may be suitable for candidates who want to work in a large food and beverage business environment, supporting sales growth, distribution excellence, data modernization, analytics, and business decision-making.
This article explains the available Al Safi Danone Company jobs in Saudi Arabia, responsibilities, requirements, qualifications, skills, salary notes, application method, CV tips, and important advice before applying.
About the Company
Al Safi Danone Company operates in the dairy and food and beverage sector in Saudi Arabia.
The current job details show opportunities in both commercial sales operations and data engineering, which means candidates may work in areas connected to field sales, regional distribution, customer relationships, data platforms, analytics, and business technology.
For job seekers, this means the work environment may involve customer service, sales targets, route planning, team leadership, data quality, cloud systems, reporting, analytics, and cross-functional teamwork.
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Company Industry and Work Environment
The Sales Supervisor role is connected to sales and distribution activities across all regions of Saudi Arabia.
The Data Engineer role is connected to data ecosystem modernization, Microsoft Fabric, OneLake, medallion architecture, data pipelines, cloud platforms, and analytics support.
Candidates applying for the sales role should be comfortable with field sales, team supervision, customer route planning, sales targets, reporting, customer relationships, and competitor monitoring.
Candidates applying for the data role should be comfortable with cloud-based data engineering, Python, large datasets, data transformation, pipeline monitoring, and collaboration with business and technical teams.
Job Opportunities Overview
The current job list includes 2 unique vacancies in Saudi Arabia.
The Sales Supervisor role is available across all regions of Saudi Arabia and requires 4 to 5 years of relevant sales experience, including at least 1 year in a supervisory role.
The Data Engineer role focuses on transitioning legacy data infrastructure to Microsoft Fabric and building scalable medallion architecture within OneLake.
Candidates should review the official LinkedIn job listing carefully before applying because requirements and application status may change.
Available Positions
Sales Supervisor
The Sales Supervisor role is suitable for candidates with strong experience in sales operations, field sales, team supervision, distribution management, and customer relationship management.
The job will be available across all regions of Saudi Arabia according to the provided job details.
The main purpose of the role is to lead a sales team effectively to achieve sales targets according to company policies, procedures, and systems in the assigned geographic area.
The Sales Supervisor will also maintain strong customer relationships to support accelerated growth and maximize market opportunities.
The selected candidate will meet the sales team daily to discuss operations, daily targets, journey plans, Roadnet usage, IDS compliance deviations, and corrective actions after field visits.
The role requires knowledge of sales and distribution channels, competitor activity, and market conditions across the assigned area.
The Sales Supervisor will develop weekly plans for the assigned area in line with sales targets and send them to the Branch or Area Sales Manager.
Daily follow-up is required to ensure sales plan implementation in the field and to improve customer service according to customer classification.
The candidate will execute agreements with local key accounts according to instructions and in alignment with the Area Sales Manager.
The role also includes maintaining good business relationships with key account representatives in the assigned area.
The Sales Supervisor will prepare and execute daily journey plans for salesmen to improve customer route efficiency according to company procedures.
Weekly route-rides or work-withs are required to ensure SOP execution, sales standards, and on-the-job coaching for salesmen.
The candidate will conduct daily endorsement sessions and ensure usage and reporting through OPTSAL according to sales and distribution policies.
The role includes organizing and supervising a small team to ensure all sales branch activities are completed efficiently, effectively, and according to procedures.
The Sales Supervisor will provide formal and informal feedback to team members to support continuous development.
The candidate will also train the team in the field on sales fundamentals and skills, including distribution, coverage, and visibility.
Compliance with safety, quality, and environmental management policies is required to maintain a healthy and safe work environment.
Candidates should have a Bachelor’s degree in Sales & Marketing, Commerce, or Finance, or a Diploma in Sales or Marketing.
There is a strong preference for candidates from the dairy industry, while candidates from food and beverage companies may also apply.
The role requires 4 to 5 years of relevant sales experience, including at least 1 year in a supervisory role.
Data Engineer
The Data Engineer role is suitable for candidates with experience in data engineering, cloud platforms, Python, data pipelines, data modeling, analytics support, and modern data architecture.
The selected candidate will help modernize the company’s data ecosystem by supporting the transition from legacy infrastructure to the Microsoft Fabric environment.
The role involves working as part of a team to design and implement scalable medallion architecture.
The candidate will help build reliable and efficient data pipelines that integrate multiple business systems into the OneLake platform.
The role is important for building a unified, high-quality data foundation that supports advanced analytics, AI initiatives, and data-driven decision-making across the organization.
Key responsibilities include designing, building, and maintaining scalable data pipelines to support migration of legacy data systems into Microsoft Fabric and OneLake.
The candidate will ensure reliable data ingestion and transformation from multiple source systems.
The Data Engineer will support implementation of Bronze, Silver, and Gold medallion architecture by transforming raw data into structured and curated datasets.
These datasets will be optimized for analytics, reporting, and AI use cases.
The role requires close collaboration with analytics teams, IT teams, and business stakeholders to understand data requirements and deliver useful datasets for dashboards, reporting, and advanced analytics.
The candidate will contribute to metadata management, documentation, and data quality checks to ensure datasets are reliable, governed, and discoverable within the platform.
The Data Engineer will also monitor data pipelines, troubleshoot integration issues, and perform root cause analysis on failures to maintain stable data availability.
Candidates should have a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, Mathematics, or a related technical field.
Related technical fields may include Systems Engineering, Electrical Engineering, Industrial Engineering, or Chemical Engineering.
Proficiency in Python is required, along with strong experience using data processing libraries such as Pandas.
Familiarity with machine learning or computer vision libraries such as OpenCV, scikit-learn, PyTorch, TensorFlow, or Keras is considered an advantage.
The role requires approximately 3 or more years of hands-on experience working with large datasets and building data solutions in cloud platforms such as Azure or GCP.
Candidates should also have experience developing and testing code in cloud-based environments.
Strong written and verbal communication skills are required to work effectively across technical and business teams.
Certification such as Microsoft Certified: Azure Data Engineer Associate or similar cloud data engineering credentials is highly desirable.
General Job Responsibilities
General responsibilities vary by role, but the listed vacancies are connected to sales growth, team supervision, customer service, distribution control, data engineering, cloud migration, data quality, and analytics enablement.
The Sales Supervisor role focuses on sales targets, field team leadership, customer relationships, journey planning, key account execution, competitor monitoring, SOP compliance, and sales team development.
The Data Engineer role focuses on cloud data pipelines, Microsoft Fabric migration, OneLake integration, medallion architecture, data transformation, data quality, documentation, and troubleshooting.
Both roles require strong communication, teamwork, reporting, and the ability to work with different departments to support business goals.
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Requirements
The Sales Supervisor role requires a Bachelor’s degree in Sales & Marketing, Commerce, or Finance, or a Diploma in Sales or Marketing.
The Sales Supervisor role requires 4 to 5 years of relevant sales experience, including at least 1 year in a supervisory role.
Dairy industry experience is strongly preferred, while food and beverage industry experience is also acceptable.
The Data Engineer role requires a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, Mathematics, or a related technical engineering field.
The Data Engineer role requires approximately 3 or more years of hands-on experience with large datasets and cloud data solutions.
Experience with Azure or GCP, Python, Pandas, data pipelines, Microsoft Fabric, OneLake, and medallion architecture is highly relevant for the Data Engineer role.
Qualifications
Sales Supervisor candidates should have a degree in Sales & Marketing, Commerce, Finance, or a Diploma in Sales or Marketing.
Additional training in sales management, route planning, FMCG sales, dairy distribution, key account management, leadership, or customer service may support the application.
Data Engineer candidates should have a degree in a technical field such as Computer Science, Information Systems, Data Engineering, Statistics, Mathematics, or Engineering.
Cloud data certifications such as Microsoft Certified: Azure Data Engineer Associate or similar credentials are highly desirable for the Data Engineer role.
Skills Required
Sales Supervisor candidates should have leadership, route planning, sales target management, team coaching, customer relationship management, distribution planning, key account support, competitor monitoring, and reporting skills.
Sales Supervisor candidates should also understand sales fundamentals such as distribution, coverage, visibility, journey planning, daily endorsements, and SOP execution.
Data Engineer candidates should have Python, Pandas, data pipeline development, cloud data engineering, data transformation, data modeling, Microsoft Fabric, OneLake, metadata management, troubleshooting, and data quality skills.
Data Engineer candidates may also benefit from knowledge of OpenCV, scikit-learn, PyTorch, TensorFlow, Keras, Azure, GCP, medallion architecture, analytics datasets, and AI-ready data foundations.
Benefits
Specific employment benefits were not disclosed in the provided job details.
Candidates should review the official LinkedIn job listing and confirm benefits directly with Al Safi Danone Company during the recruitment process.
Applicants should not assume accommodation, transportation, medical insurance, annual tickets, bonuses, commissions, overtime, or other benefits unless these are officially confirmed by the employer or written in the offer letter.
Salary Information
Salary details were not disclosed in the provided job information.
Compensation may depend on job title, experience level, qualifications, industry background, technical skills, sales performance, interview result, and company policy.
Candidates should discuss salary expectations professionally during the interview stage or after receiving official compensation details.
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Job Location
The job location is Saudi Arabia.
The Sales Supervisor role states that the job will be in all regions of Saudi Arabia.
The Data Engineer role is also listed under Saudi Arabia through the provided application link.
Candidates should confirm the exact city, region, office location, work arrangement, travel requirement, and reporting line through the official LinkedIn listing before accepting any offer.
Who Can Apply?
Sales professionals with dairy, FMCG, food and beverage, field sales, distribution, and supervisory experience may apply for the Sales Supervisor role.
Data professionals with cloud data engineering, Python, Microsoft Fabric, OneLake, Azure, GCP, and large dataset experience may apply for the Data Engineer role.
Candidates with strong communication, teamwork, business understanding, and reporting skills may have an advantage for both roles.
Applicants should apply only for positions that match their qualifications, experience, skills, location preference, and career level.
Required Documents
The exact document list may vary by role, but candidates may generally need to prepare the following:
- Updated CV or resume
- Educational certificates
- Experience certificates
- Sales achievement records for Sales Supervisor role if available
- Training certificates in sales, FMCG, route planning, or supervision if available
- Cloud or data engineering certificates for Data Engineer role if available
- Python, Azure, GCP, Microsoft Fabric, or data platform project examples if available
- Saudi national ID or Iqama documents if applicable
- Passport copy if applicable
- Professional references if requested
Required documents may vary depending on Al Safi Danone Company recruitment requirements and the specific job listing.
Candidates should only share sensitive personal documents through the official application page or trusted recruitment channels.
How to Apply
Candidates can apply through the provided LinkedIn application link:
Al Safi Danone Company Jobs KSA 2026 – Apply Now
CV Writing Tips for These Jobs
Prepare a targeted CV based on the exact Al Safi Danone role you want to apply for.
For Sales Supervisor, highlight dairy or FMCG experience, field sales, sales targets, route planning, journey plans, team supervision, key account support, competitor monitoring, sales reporting, and team coaching.
For Data Engineer, highlight Microsoft Fabric, OneLake, Azure, GCP, Python, Pandas, medallion architecture, data pipelines, data quality, cloud development, large datasets, analytics support, and troubleshooting.
Use a clear CV headline such as “Sales Supervisor – Dairy / FMCG Distribution” or “Data Engineer – Microsoft Fabric / Azure / Python”.
Include measurable achievements where possible, such as sales growth, team size supervised, route improvements, distribution coverage, pipeline reliability, data quality improvements, or cloud migration projects.
Application Tips for Candidates
Read the full LinkedIn job description carefully before applying.
Apply only for roles that match your qualifications, experience, technical skills, industry background, and location preference.
Use a professional email address and make sure your mobile number and email address are correct and active.
Sales candidates should clearly mention dairy, food and beverage, FMCG, sales supervision, and route management experience.
Data candidates should clearly mention cloud platforms, Python, data pipelines, Microsoft Fabric, OneLake, and data architecture experience.
Use only the provided LinkedIn application link or trusted official recruitment channels.
Interview Preparation Tips
Before the interview, candidates should review the role requirements and prepare examples from previous sales or data engineering work.
Sales Supervisor candidates should prepare examples related to team leadership, sales targets, route planning, key accounts, field coaching, competitor activity, daily sales follow-up, and customer service improvement.
Data Engineer candidates should prepare examples related to data pipeline development, cloud migration, Microsoft Fabric or Azure projects, Python development, data quality checks, troubleshooting, and collaboration with analytics or business teams.
Candidates should be ready to explain how their work contributed to business growth, operational efficiency, analytics quality, or better decision-making.
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Important Notes Before Applying
Candidates should verify all job details through the official LinkedIn listing before submitting personal information.
Applicants should avoid paying recruitment fees. Real employers and official recruitment platforms usually do not ask candidates to pay personal fees to secure a job offer.
Use official and trusted application channels only, and be careful with fake job offers, unofficial messages, or requests for payment.
Candidates should confirm salary, benefits, job location, region assignment, work arrangement, travel requirements, contract type, and joining requirements directly with Al Safi Danone Company before accepting any offer.
Frequently Asked Questions (FAQ)
How can I apply for Al Safi Danone Company jobs in Saudi Arabia?
Candidates can apply through the LinkedIn application link provided in the How to Apply section.
How many job titles are listed?
There are 2 unique job titles listed in the provided job information.
What jobs are available?
The available jobs are Sales Supervisor and Data Engineer.
Where are the jobs located?
The jobs are located in Saudi Arabia. The Sales Supervisor role states that the job will be in all regions of Saudi Arabia.
What experience is required for Sales Supervisor?
The Sales Supervisor role requires 4 to 5 years of relevant sales experience, including at least 1 year in a supervisory role.
Is dairy industry experience required?
Dairy industry experience is strongly preferred for the Sales Supervisor role. Candidates from food and beverage companies may also apply.
What experience is required for Data Engineer?
The Data Engineer role requires approximately 3 or more years of hands-on experience with large datasets and cloud data solutions such as Azure or GCP.
Is salary mentioned?
No, salary details were not disclosed in the provided job information.
Summary
Al Safi Danone Company is offering 2 job opportunities in Saudi Arabia: Sales Supervisor and Data Engineer.
Candidates should prepare a targeted CV, highlight their sales or data engineering experience clearly, review the official LinkedIn listing carefully, and apply only through the provided application link.