Data Engineer

Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with presence in more than 200 countries worldwide? If so, this is the chance to apply now!

People Cert is looking for a Data Engineer to join our growing Data & AI team. This role is integral to designing, building, and maintaining the infrastructure and data solutions that support our AI-driven initiatives. The ideal candidate will bring solid hands-on experience in Microsoft Azure technologies and a strong interest in data engineering practices that support machine learning, advanced analytics, and large-scale data processing.

You will work alongside the AI Center of Excellence next to data scientists, ML engineers, software developers, analysts, and business stakeholders to enable data accessibility and power intelligent applications.

As a Data Engineer, your tasks will include the following:

• 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 lake houses 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.

What we look for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3–5 years of experience in data engineering roles, ideally within Azure or 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 Dev Ops, Git).

What we offer:

• Competitive remuneration package
• Work in an international, dynamic and fun atmosphere
• Two free vouchers for all certifications from People Cert's Portfolio per year for all employees
• Huge learning experience in using best practices and global environment
• Constant personal and professional development

About People Cert

People Cert is a global leader in assessment and certification of professional skills, partnering with multi-national organizations and government bodies for the development & delivery of standardized exams. Delivering exams across 200 countries and in 25 languages over its state-of-the-art assessment technology, People Cert enables professionals to boost their careers and realize their life ambitions.

Quality, Innovation, Passion, Integrity are the core values which guide everything we do.

Our offices in UK, Greece, and Cyprus boast a culture of diversity, where everyone is different, yet everyone fits in. All of us at People Cert are committed to the reflection of the diversity and inclusion of our customers and the communities in which we do business.

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