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Companies Hiring Data Engineers on LinkedIn (Live Feed)

Companies posting about data engineering roles on LinkedIn right now. See the actual hiring announcements with context about tech stack, team size, and growth stage that formal job listings strip away.

10,000 posts
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Showing 1–20 of 10,000 posts

Weixiang Sun
Weixiang Sun

Weifang Henglida Steel Structure Co, Ltd - Director of Overseas Marketing

1h ¡
Built to last, engineered for speed. Our prefab steel buildings offer unmatched strength, wide-open spans, and rapid on-site assembly—perfect for warehouses, workshops, retail spaces, and industrial facilities. Precision-fabricated off-site for quality control, fully code-compliant, and designed to
Matched:warehouse
JF
Jiwa Financials

582 followers

1h ¡
Happy Easter! We hope you enjoy the long weekend with friends and family. #Jiwa #operations #systems #warehouse #inventorymanagement #businesssoftware #data
Matched:warehouse
AM
Argam Matevosian

Chief Executive Officer @ Emolo.com Founder of easyesuite.com Founder of Nationwide Distributor | Computer Science

1h ¡
🚨 Amazon owed one of our users $50,000 — and they had no idea. 566 unclaimed reimbursements. Lost inventory. Damaged returns. Missing shipments. Our AI found every single one. Automatically. We built EasyEsuite for serious Amazon & multi-channel sellers tired of: ❌ Manual payment reconciliation
Matched:warehouse
Mubina Fayzullaeva
Mubina Fayzullaeva

STEM explorer | Polyglot | BEYONDAI ’25 | KWK Scholar ’25 | AI and environmental science | Data Science & BI | CIP ’25 | TOP100UNI ’25 | Too curious for my own good | Graphic-designer

1h ¡
“get in the kitchen and start cooking” Funny out of context, but that’s what Michael Lopez-Alegria, former commander of the International Space Station (ISS) and Alper GEZERAVCI, the first Turkish astronaut, said when they visited Central Asian University. They were addressing Uzbekistan and our p
1
Matched:warehouse
Rodrigo Linck
Rodrigo Linck

Operations leader with a creative edge—driving high‑performance logistics, people‑focused leadership, and systems that scale.

1h ¡
Adopting a WMS integrated with your ERP is not just a technology upgrade — it’s a fundamental shift in how your logistics operation performs. In many warehouses, the ERP is still the “brain” of the business, but without a proper WMS, execution on the floor depends too much on manual processes, trib
Matched:data platformwarehouse
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Dinesh Adari
Dinesh Adari

Principal Specialist and Tech Manager @ Temenos | Senior Data Warehouse Developer | Oracle & ODI | ETL Architecture | Power BI & Yellowfin | Data Modeling | BI & Analytics

1h ¡
Manager
🚀 ETL vs ELT vs dbt – Tools You Should Know (With Examples) Understanding tools in ETL, ELT, and dbt is essential for every data professional. Here’s a simple breakdown with real-world examples 👇 🔹 1. ETL Tools (Extract → Transform → Load) 👉 Transform data before loading into the target system
Matched:analytics engineerdata engineeringdata platformdata pipelineetl engineereltwarehousedata engineer
Jacqui Stockwell
Jacqui Stockwell

Product Management Professional

1h ¡
Very proud to announce the latest product in our Abex commercial truck and heavy duty brake line up! From ideation to parts in the warehouse in under 9 months including testing. This is a big win for my team! Thanks to all those involved from procurement, engineering, marketing, and sales.
Matched:warehouse
Kavi Priyan R
Kavi Priyan R

Machine Learning & AI Engineer | Python, TensorFlow, MLOps | Building Scalable ML Systems, REST APIs & Backend Integrations | End-to-End Lifecycle: Data Preparation to Production Deployment

1h ¡
Entry Level
Data Lake vs. Data Warehouse: Are You Swimming in a Data Lake or Building a Data Warehouse? 🏊‍♂️🏗️ The 'Data Explosion' is real. Companies are drowning in information, but are they swimming in the right pool? 💡 Understanding the fundamental difference between a Data Lake and a Data Warehouse i
1
Matched:analytics engineerdata engineeringdata platformetl engineerwarehousedata engineer
Nikhilvarma Kandula
Nikhilvarma Kandula

Data Analyst & Engineer | M.Sc. Big Data & Business Analytics | Making the complicated simple through Data

1h ¡
Entry Level
The Semantic Layer: the most important concept in modern analytics no one talks about Your company has 12 dashboards that define 'Revenue' in 14 different ways. This is not a data problem. It's a definition problem. The Semantic Layer solves this. It sits between your data warehouse and your BI
Matched:warehouse
Dinesh Adari
Dinesh Adari

Principal Specialist and Tech Manager @ Temenos | Senior Data Warehouse Developer | Oracle & ODI | ETL Architecture | Power BI & Yellowfin | Data Modeling | BI & Analytics

1h ¡
Manager
🚀 Databricks vs Microsoft Fabric – Key Differences & Real-World Use Cases With the rise of modern data platforms, many organizations are evaluating Databricks and Microsoft Fabric. While both are powerful, they serve slightly different needs. Here’s a simple breakdown 👇 🔹 1. Platform Overview D
1
Matched:analytics engineerdata engineeringdata platformdata pipelineetl engineerdata infrastructureeltwarehousedata engineer
Mudassar Abbas
Mudassar Abbas

|Student of Business Administration || Marketing specialist || Social Media Marketing || Affiiliate Marketing || Brand Promotion || LinkedIn profile Upgrade

1h ¡
Entry Level
💡Problems are like Puzzles waiting for Solutions!🔥 Every problem we face is not a dead end, there's always a doorway. Solutions aren't obvious, sometimes they're buried in thinking outside the box, #creativity, commitment, persistence or even asking for help. There are different automation too
Matched:warehouse
Nan Artitaya S.
Nan Artitaya S.

Finance & Business Professional | Credit Risk Analyst • Market Risk Analyst • Equity Research • Market Insights • Sales & Client Growth | Trade Finance & Global Operations | MSc Finance (NUS)

2h ¡
📍Yangon: Moving beyond the data to understand the market pulse. Behind every credit risk model is a real-world story of resilience and adaptation. Representing our Risk Team, I recently spent time on the ground with our ABGT office in Yangon, Myanmar, visiting the warehouses of major agricultural
Matched:warehouse

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黄星辉
黄星辉

Leading HDPE Pipe & Rainwater System Production | Delivering Reliable Infrastructure Solutions Globally| Manufacturing Manager

2h ¡
❓ Still using traditional drainage systems for large commercial buildings? What if you could drain water faster, use fewer materials, and save space — all at the same time? That’s where siphonic drainage systems come in. Unlike conventional gravity drainage, siphonic systems use full-bore flow to
1
Matched:warehouse
Mr Dũng Việt POS
Mr Dũng Việt POS

Group CEO tại VIỆT ĐỨC TRÍ GROUP

2h ¡
CXO/Founder
The backbone of modern logistics: Selective pallet racking systems are no longer a luxury but a necessity for efficient warehouse operations. Traditional logistics warehouses in Vietnam often only utilize 35-40% of their vertical space, leading to cluttered environments and significantly slower pick
Matched:warehouse
Richard Chen
Richard Chen

AI Agent for Supply Chain | Ex-TikTok, Meta

2h ¡
Entry Level
Diesel just had its largest single-week price spike in history. And almost nobody in logistics is talking about what happens next. National average hit $5.40/gal last week -- up 96 cents in seven days (FTR Transportation Intelligence). California is over $7.00. That's not a blip. That's a regime ch
1
Matched:data infrastructurewarehouse
Moatez Sghairi
Moatez Sghairi

IT student

2h ¡
Entry Level
🚀 New progress on my ScoutVision project I added an Apache Airflow orchestration layer in Docker to automate my Talend ETL workflows and manage the Data Warehouse pipeline more professionally. Tech used: Airflow, Docker, Talend, PostgreSQL, Bash This step helped me improve automation, scheduling
Matched:data pipelinewarehouse
NL
NZ DEPOT Ltd.

138 followers

2h ¡
🔧 Upgrade your tool game with the Realcold ADAPTOR 14MM MALE TO 1/4 MF! Perfect for seamless connections, making your projects easier & faster. Only $22.99 at NZ Depot! 🚀💪 Don't miss out, shop now! 👉 [Link] **Realcold ADAPTOR 14MM MALE TO 1/4 MF** product_sale_price ? 'Sale Price: ' + product_s
Matched:data engineeringwarehousedata engineer
R
RemoteYeah

19,843 followers

2h ¡
Entry Level
Great remote opportunity: Utility Warehouse is seeking a Software Engineer - Lifecycle Customer. 🏢 Employment type: Full-time, 📍Remote locations: United Kingdom 💻 Skills: Kafka, GraphQL, Docker, Kubernetes, MongoDB, PostgreSQL, GitHub, Agile, CI/CD, Go, Apache Kafka, Message queues Repost to he
Matched:warehouse
Sagar Deshpande
Sagar Deshpande

Senior Consultant at Navigate Consulting

2h ¡
Senior
🚀 Data Engineering is not dying — it’s evolving into AI-native architecture The rise of GenAI and RAG (Retrieval-Augmented Generation) is fundamentally reshaping how we design data platforms. For years, Data Engineering focused on: ✔️ ETL pipelines ✔️ Data warehouses / lakes ✔️ BI dashboards But
Matched:data engineeringdata platformdata pipelineetl engineerwarehousedata engineer
Ivan Kotov
Ivan Kotov

AI Systems Architect | Persistent AI Entities | c=a+b Protocol | L4 Reality-Bound Architecture | EU AI Safety Standards (CEN/CENELEC)

2h ¡
We are still looking at what is happening from the wrong angle. Much of the conversation about AI is still trapped in the logic of old AGI: as if the goal were to build one very powerful intelligence, or to produce as many convenient tools as possible - chats, agents, assistants, narrow-purpose com
Matched:data infrastructurewarehouse

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