Warehouse Manager Jobs in Saudi Arabia.
All active Warehouse Manager roles based in Saudi Arabia.
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Material Flow Engineer
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The Material Flow Engineer supports the material flow engineering team in the planning and deployment of in-plant logistics systems, processes, and material handling/storage infrastructure. This role focuses on analyzing and optimizing logistics flows from inbound truck parking bay to internal/external warehouses, dock to marketplace, kitting, sequencing/auto call systems, and lineside parts feeding strategies. The Senior Engineer contributes to lean, agile, and cost-effective solutions that enable seamless production and operational excellence. The ideal candidate brings strong engineering expertise and proven ability to work with key stakeholders and cross-functional teams.
You Will:
- Collaborate with a high-performing logistics engineering team to analyze, design, and optimize in-plant logistics systems including warehousing, transportation, and distribution.
- Lead strategic initiatives such as network design, capacity planning, cost-to-serve modeling, and logistics performance improvements.
- Design and refine warehouse layouts, material handling systems, and logistics flows using AutoCAD, simulation tools, and engineering analysis.
- Evaluate and implement automation technologies (e.g., conveyors, ASRS, AGVs, robotics) to boost productivity and throughput.
- Partner with cross-functional teams—operations, IT, procurement, and 3PLs—to align logistics strategies across the organization.
- Manage RFPs and infrastructure investments for logistics assets, including new site development and facility expansion.
- Analyze logistics data and KPIs to identify trends, gaps, and opportunities for continuous improvement.
- Drive lean logistics initiatives and support Kaizen events and Six Sigma projects.
- Support new product introductions, plant launches, and business expansions with scalable logistics solutions.
- Ensure logistics operations comply with safety standards, environmental regulations, and corporate policies.
You Bring:
- Bachelors degree in Software Engineering, Information Systems Engineering, Computer and Electronics Engineering, Computer Engineering and 5 years of professional experience
- 4–7 years of experience in the automotive industry or material flow engineering.
- At least 1–2 years of experience in a supervisory or team lead role.
- Proven ability to design and optimize material flow systems.
- Familiarity with Lean Manufacturing systems such as TPS and WCM.
- Exposure to automation technologies and logistics data analysis.
- Strong engineering and team coordination experience.
- Excellent analytical, organizational, and communication skills.
- Ability to manage multiple projects in a fast-paced, global environment.
- A proactive, solution-oriented mindset with attention to detail.
- Strong negotiation and vendor management capabilities.
- Ability to interpret technical drawings and specifications.
- Understanding of sustainability practices and circular economy principles in packaging.
- Experience working cross-functionally and managing stakeholder expectations.
- Strategic thinking with the ability to align material flow initiatives with broader business goals.
- A track record of supporting and developing high-performing teams.
- Decision-making skills under pressure and in ambiguous situations.
- Ability to influence and drive change across departments and external partners.
- Experience coaching, mentoring, and developing talent.
- A passion for transformation and continuous improvement.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Why Tamara?
We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!
About the Program:
At Tamara, we believe exceptional talent deserves an exceptional launchpad.
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.
About the role
We’re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.
This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.
With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.
Your responsibilities
- Build and maintain the data platform
- Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
- Keep the platform reliable, observable, and ready to scale.
- Build robust pipelines (ELT/ETL + event-driven)
- Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
- Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
- Improve pipeline performance, cost, and reliability.
- Make the platform easier every week
- Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
- Enable analytics and AI use cases
- Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
- Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
- Partner with stakeholders
- Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
- Keep data secure across boundaries
- Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python, Java, Go, or similar.
- Strong SQL fundamentals.
- Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
- A problem-solving mindset and comfort debugging systems end-to-end.
- Clear communication and a collaborative approach.
Nice to have
- Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
- Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
- Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
- Basic Terraform/IaC and CI/CD familiarity.
- Experience using AI assistants responsibly for coding, debugging, and documentation.
What success looks like
- You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
- You can debug a data issue from source to downstream consumption with clear root cause and fix.
- Teams can onboard to data sources faster, with better documentation and fewer manual steps.
- Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).
Ready to apply?
Apply to Tamara