Data Engineer

On behalf of our client, a leading global organization in the certification and technology sector, we are looking for a Data Engineer to design, build, and maintain modern data infrastructure and tools that enable large-scale data processing, storage, and analysis.

This is an excellent opportunity for an experienced data professional with deep expertise in Microsoft Azure technologies—including Synapse Analytics, Azure Databricks, and Delta Lake—as well as a strong background in API integration and Python development.

Your Day to Day 

• Design, implement, and maintain scalable data pipelines and workflows to support AI/ML model training, evaluation, and inference.
• Build and optimize data integration solutions using Azure data tools (Synapse Analytics, Azure Data Factory, Databricks, Delta Lake).
• Collaborate with data scientists and AI engineers to ensure the right data is available in the right format and quality for modeling purposes.
• Develop and maintain APIs and data services that support AI-powered applications and insights delivery.
• Support the development of data lakes and lakehouses tailored for advanced analytics and AI use cases.
• Write efficient, reusable Python and SQL code for data processing, cleaning, and transformation.
• Participate in code reviews and knowledge-sharing sessions within the team to promote best practices and continuous learning.
• Keep up to date with emerging tools, cloud services, and trends in data engineering and AI infrastructure.

Must have:   

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience in data engineering roles, ideally within Azure of Microsoft based ecosystems.
• Solid experience with:
• Azure Synapse Analytics, Azure Databricks, Delta Lake.
• Python for data engineering workflows.
• Building and maintaining robust ETL/ELT pipelines.
• SQL for complex querying and data transformation.
• Experience working with RESTful APIs and integrating external data sources.
• Strong understanding of data quality, governance, and security practices.
• Excellent communication skills and ability to collaborate with cross-functional teams.
• Strong problem-solving mindset and ability to work independently on moderately complex projects.

Nice to Have:

• Exposure to Microsoft Fabric or Dataverse.
• Familiarity with Microsoft Copilot or experience integrating AI assistants into workflows.
• Experience supporting AI/ML workloads (e.g., feature engineering, model deployment pipelines).
• Familiarity with CI/CD practices in data projects (e.g., using Azure DevOps, Git).

What we offer:

• Competitive remuneration package
• Work in an international, dynamic and fun atmosphere
• Two free vouchers for all certifications per year for all employees
• Huge learning experience in using best practices and global environment