Senior Azure Data Engineer

About the position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.

Responsibilities

• Designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets.
• Utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability.
• Collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem.
• Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment.
• Data processing efficiency improvement, migrations from on-prem to public cloud platforms.
• Mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.

Requirements

• At least 5 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle).
• Practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience.
• Very good knowledge of Python and SQL.
• Practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400).
• Experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI.
• Very good command of English.

Benefits

• Permanent employment contract from the first day.
• Hybrid, flexible working model.
• Equipment package for home office.
• Private medical care with Medicover.
• Life insurance.
• Capgemini Helpline.
• NAIS benefit platform.
• Access to 70+ training tracks with certification opportunities.
• Platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI.