Data Engineer Intern

Description

The company's Data & Technology team helps clients get more value from their data, working across industries including financial services and assurance. The team combines modern cloud technologies, data platforms and AI-driven solutions to address complex business problems.

David leads the Data Engineering team in Data Management within Technology Consulting. He acts as both cloud data platform architect and delivery manager, helping clients build, modernise and migrate data platforms, carry out data migrations for core system replacements, and turn data into business results. He has delivered complex Data & AI projects in Europe and Canada.

This internship places you in a supportive team of engineers, architects and analysts. Projects cover large banks and assurance organisations abroad as well as companies in the Czech Republic. You do not need to know everything at the start. The team will help you build technical skills and see how data solutions are designed, built, tested and used in practice.

Responsibilities

• Help design, build and maintain data pipelines using tools such as Databricks, Snowflake and MS Fabric, along with cloud-native services on Azure, AWS or GCP.
• Support automation of data processes, including extracting, transforming, validating and loading data from different sources.
• Learn from experienced data engineers and data architects on live client work.

Requirements

• Currently studying for, or recently completed, a degree in Information Technology, Computer Science, Data Science or a related field.
• A strong interest in software development and data engineering, with an analytical, problem-solving approach.
• Basic knowledge of Python, Git, databases and object-oriented programming, plus a strong readiness to learn.

Conditions

Hybrid working is available as part of flexible working arrangements.

Equal opportunity applies to all candidates.

Benefits

• Would help you stand out: experience from school, personal or work projects involving programming, databases, APIs or data pipelines.
• Would help you stand out: basic knowledge of Azure, AWS or GCP.
• Would help you stand out: interest in AI, LLMs, AI agents, prompt engineering or RAG solutions.
• Would help you stand out: familiarity with Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery or similar technologies.
• Would help you stand out: understanding of data modelling and data warehousing concepts.
• Would help you stand out: enthusiasm for learning new technologies and collaborating with others.
• Professional growth that fits your ambitions and pace, with the chance to progress from senior engineer to an architecture role.
• Fair pay with no gaps. The company is one of the few in the Czech Republic certified for Equal Pay.
• A flexible benefits programme with 15,000 points to spend on what matters most to you.
• Ongoing training and certifications in consulting, business and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), Azure and Power Platform, business process analysis, and stakeholder management, communication and presentation skills.
• A buddy, regular feedback and a coach to support your development and career path.
• Well-being support and healthy lifestyle initiatives, including Dr. Digital, Human Dynamic programmes, workplace yoga and running events.
• An ultrabook and an iPhone with unlimited data.
• Social events and Away Days.