พื้นฐาน
🛠 Data Engineer
โพสต์: 03.06.2026
วันปิดรับสมัคร: 18.07.2026
การอ้างอิงงาน: 7da363344ccfc4526ff8e315a7d80d5d
ข้อมูลงาน
ที่ตั้ง
Hybrid, Belgium
บริษัท
dataroots
การอ้างอิงงาน
7da363344ccfc4526ff8e315a7d80d5d
ประเภทรายการ
พื้นฐาน
ต้องมีใบอนุญาตทํางานของสหภาพยุโรป
ไม่
โพสต์
03.06.2026
วันปิดรับสมัคร
18.07.2026
รายละเอียดงาน
🤖 The JobAt Dataroots, we lead the charge in crafting cutting-edge AI solutions and platforms that drive innovation across industries. As a Senior Data Engineer, you’ll play a pivotal role in designing and implementing advanced data infrastructure and digital solutions that form the foundation of our AI-powered strategies. With a deep focus on DataOps and MLOps, you'll collaborate with some of the brightest minds in the field to create robust, scalable data pipelines that empower machine learning teams and elevate our clients’ operations. Your expertise will ensure that our AI solutions are backed by high-quality data and state-of-the-art infrastructure, allowing companies to make smarter, data-driven decisions.You’ll design and deploy complex data architectures that impact businesses across a variety of sectors. You’ll oversee the entire lifecycle from data ingestion to production-ready systems, creating real-world solutions that drive results.Work closely with a multidisciplinary team of machine learning engineers, cloud architects, and data scientists. Together, you’ll build solutions that are not only innovative but also scalable and reliable🎉 What you can expect at Dataroots?Founded in 2016, Dataroots has been dedicated to helping customers achieve excellence in their data-driven operations. Our sustained and healthy growth over the years stems from a focus on team well-being, diversity, knowledge sharing and customer experience. Join a team where you can make a significant impact on our growth story. Learn more about our DNA at [https://dataroots.io/our-dna].💪 The SkillsProven Leadership in Data Engineering: You are a master at designing high-performance data platforms and architectures.End-to-End Pipeline Expertise: You can create complex ELT data pipelines—bothbatch and streaming—with tools like Airflow, Prefect, or Dagster.Strong Software Engineering Foundations: Proficient with Git, Python, SQL, andDocker, you write clean, maintainable code.Cloud Engineering Mastery: You have hands-on experience with Terraform and areskilled in building scalable, cloud-based infrastructures.Hands-on Experience with Data Platforms: You are proficient with platforms likeDatabricks, Snowflake, Azure Data Services, or AWS Data Services.Nice-to-HaveExperience with Spark for data processing.Expertise in data quality tooling and metadata management.Familiarity with dbt and advanced data modeling.Proficiency in container orchestration using Kubernetes and Helm.Knowledge of secure, private networking in cloud environments.💰 The OfferAn attractive salary with extralegal benefits, including:Mobility budget or a company car with fuel/charging cardHospitalization and group insuranceHigh-end laptopSmartphone with subscriptionSubstantial amount of holidaysMeal vouchers...Diverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from different cultures and disciplines. The organization of both fun & professional events and initiatives is actively encouraged and supported.A training budget for individual and team learning opportunities.Tons of team-building events and sports initiatives to stay connected and unwind.📍 Where you’ll workOur main offices are in Leuven and Ghent, with co-working spaces in Charleroi and Antwerp. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on-site with clients.🎯 Ready to join Dataroots?Ready for a new chapter as an Experienced Data & Cloud Engineer at Dataroots? Great! Apply now! 🎉Still need convincing? Click the image below ⏯️ to check out what Data & Cloud Engineer Amal has to say about working at Dataroots 👇
ทักษะ
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases