Live opening · Posted 17 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
We are looking for an experienced Data Engineer to support the design and evolution of our clients' data platform. You will help build scalable data solutions, develop robust data pipelines, and enable analytics that support data-driven decision making across the organization.
Key Responsibilities
Contribute to the design and implementation of the enterprise data lake and data platform architecture
Build, optimize, and maintain data pipelines and integration processes
Participate in the end-to-end delivery of data solutions – from requirements gathering to production deployment
Design and develop BI reporting and analytics models
Collaborate with stakeholders and senior engineers to translate business needs into data solutions
Apply best practices for data quality, security, and governance
Work closely with senior team members to improve and scale data workflows
Leverage AI technologies to enhance data processing, predictive analytics, and intelligent automation across the data platform
Requirements
3+ years of experience in data engineering or data analytics
Hands-on experience working with data lake architectures and large datasets
Experience with BI reporting tools and analytical platforms
Experience with at least one of the following: Power BI, Qlik, MicroStrategy (or similar enterprise BI tools)
Strong knowledge of SQL, data modeling, ETL/ELT frameworks
Experience building and maintaining scalable data pipelines
Strong analytical thinking and problem-solving skills
Good communication and collaboration skills
Nice to Have
Experience with cloud data platforms (Azure, AWS, or GCP)
Understanding of data warehousing and modern analytics architectures
Exposure to streaming or real-time data processing
Familiarity with DevOps and CI/CD practices for data projects
What we offer
Full-time employment
Working from home possibility
Private health insurance
Monthly Gym membership
Access to education and professional improvement
Working with great people in a culture that supports both autonomy and collaboration
Office perks: great location, modern equipment, unlimited coffee & tea, fruits, spacious lounge area
Team building activities
Employment type
Full-Time
Work arrangement
No
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