Sogeti propose des opportunités professionnelles visibles dans le catalogue Screeningpass, avec leurs informations de contrat, de localisation et de candidature.
Azure Databricks Technical Lead
Sogeti recherche un Technical Lead Azure Databricks pour son équipe ACT Practice, avec des missions d’ingénierie de plateforme, de data engineering et d’intégration sur Azure. Le poste couvre notamment Python, PySpark, SQL, Delta Lake, les pipelines de données et le support des environnements Azure Databricks en production, dans un cadre de travail hybride au Royaume-Uni.
Repères sur Sogeti
- Offres ouvertes
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Détails de l’offre
La description complète publiée par Sogeti.
Internal Role Information Grade – C1Location -Anywhere in the UKAbout the job you're consideringWe work closely with clients and partners to take full advantage of the opportunities of technology. We mobilize expert teams that create custom solutions from existing and emerging technology to deliver viable outcomes at speed. We call this 'Value in the making.'Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale.
With a hands-on culture and close proximity to its clients, Sogeti is currently looking for a Azure Databricks Engineer to join our ACT Practice, ensuring alignment with business goals and driving impactful value creation for our clients.Hybrid working: 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.If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)Mandatory Skills Azure Databricks Platform EngineeringHands-on implementation and troubleshooting of Azure DatabricksDatabricks Serverless configuration and workload optimisationDatabricks SQL and Delta
Lake developmentCluster management, compute policies, autoscaling, and workload monitoringData EngineeringStrong Python, PySpark, and SQL development skills Design and build ingestion and transformation pipelinesFull and incremental data loadingCDC (Change Data Capture) implementationData quality controls, schema evolution, reconciliation, and error handlingIntegration DevelopmentREST API integration experienceIntegration with databases, SaaS applications, cloud storage, and enterprise systemsSecure authentication and credential managementAzure Platform ServicesAzure Identity and Access ManagementAzure Networking and Private EndpointsAzure Security and Key VaultAzure
Monitoring and Operational SupportFinOps & Cost OptimisationResource tagging implementationCost monitoring and reportingBudget controls and usage optimisationEssential Skills Platform OperationsExperience supporting production Azure Databricks environmentsMonitoring, incident management, troubleshooting, and performance tuningOperational governance and platform standards implementationDiscovery Zone & Migration SupportExperience enabling application deployment within DatabricksBI tooling integration and schedulingSupport for POSIT/RStudio migration activitiesCollaborationWorking with Data Engineers, Data Scientists, and
Platform TeamsTechnical documentation and knowledge transferAgile delivery experienceDesirable Skills POSIT/RStudio migration experienceAI/ML and LLM integrationRAG and Vector Database exposureRegulated industry experienceWe are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.
As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.Please opt in during the application process.What does 'Get The Future You Want' mean for you?You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Management or, Cybersecurity qualifications and much more.You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.Why you should consider Capgemini:Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Prérequis
- Azure Databricks Platform Engineering
- hands-on implementation and troubleshooting of Azure Databricks
- strong Python, PySpark, and SQL development skills
- production Azure Databricks support
- Agile delivery experience
Avantages mentionnés
- training and development opportunities
- external certifications
- hybrid working
- flexible working arrangements