Who We Are
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At the heart of our outsourcing organization, the Data & Intelligence Competence Center serves as a dedicated hub for advanced data-driven solutions. We specialize in data engineering, analytics, and AI-powered insights, helping businesses turn raw information into actionable intelligence. By combining deep technical expertise with industry best practices, we enable smarter decision-making, optimize processes, and foster innovation across diverse sectors.
To deliver on this mission, we rely on talented professionals who can transform complex data challenges into robust, scalable solutions. This is where you come in. We are seeking an experienced and motivated Data Engineer to join our team. The role focuses on the development, optimization, and maintenance of Python-based ETL pipelines within an Azure Synapse environment. You will also be responsible for ensuring the reliability, scalability, and performance of our data systems. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to work collaboratively with diverse stakeholders.
What You'll Be Doing
Develop and optimize Python-based ETL pipelines using Azure Synapse
Maintain and improve existing pipelines for reliability and performance
Plan and manage capacity and sizing of cloud service components
Oversee operations and maintenance of software, infrastructure, and databases
Manage interactions with PowerBI APIs
Monitor system performance and ensure SLA compliance
Create and maintain service-related documentation
Optimize processes and configurations across environments
Coordinate with development, architecture, rollout, operations teams, and customers for releases and upgrades
Support risk assessments and audits for service-related components
What You'll Bring Along
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Minimum 5 years of experience in data xhfqzwm engineering
Minimum 2 years of experience with Python for data processing (Polars, Pandas, PySpark, etc.)
At least 1 year of hands‑on experience with Microsoft Azure
Solid understanding of cloud architecture and ITIL principles
Familiarity with the software‑as‑a‑service (SaaS) model
Excellent communication skills with a high degree of customer focus
Experience with Azure Synapse, Delta Lake, and/or PowerBI
Exposure to Business Intelligence (BI) projects
Familiarity with DevOps practices and tools
Knowledge of DataVault 2.0 methodologies
Excellent command of spoken and written English
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