Azure DevOps Platform Engineer

Join to apply for the Azure DevOps Platform Engineer role at Capgemini About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion About The Business Unit Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Role & Responsibility We are seeking a highly skilled Azure Data Engineer - Cloud with extensive experience in modern data platforms, including Databricks, Snowflake, ELT processes, and big data technologies like Apache Spark. The ideal candidate will have expertise in Azure, strong programming skills in Java and Python, and a deep understanding of data modeling, data pipelines, and governance. Architect and design cloud-based data infrastructure to support analytics, machine learning, and reporting needs. Lead the development and implementation of data pipelines (ELT/ETL) using Databricks, Spark, and other big data technologies. Optimize the use of cloud-native platforms like Snowflake for high-performance data warehousing and analytics. Experience with integration on relevant tools and software such as Terraform, Ansible, SonarQube, Nexus, Gitlab. Collaborate with stakeholders to translate business requirements into scalable and secure data architectures. Implement data governance practices, ensuring data integrity, security, and compliance with regulatory standards. Experience in DevSecOps design and development within the Public Sector with relevant project clearances. Knowledge or understanding of project lifecycle. Build efficient, reliable, and scalable data models and data integration solutions. Knowledge or working experience in public sector is preferred. Skill & Experience At least 7+ years relevant experiences Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus. Experience in data architecture and data engineering. Proven expertise in Databricks, Snowflake, and cloud platforms (AWS, Azure, or Google Cloud). Experience with ELT/ETL pipeline design, data warehousing, and data lakes. Strong programming skills in Python and Java. Hands-on experience with Apache Spark and other big data tools for data processing. Strong knowledge of SQL and NoSQL databases. Experience in building scalable data solutions and distributed systems. Familiarity with data governance frameworks, security, and compliance. What's in it for you Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from. Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. Capgemini is an Equal Opportunities Employer. #J-18808-Ljbffr