Job title - Lead Data Engineer - Azure

Location - London, UK

Mode - Hybrid 3 days/week onsite

Type - Permanent

Job Description:

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: London

If you are an extraordinary developer who loves to push boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Lead Architect (Azure), you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building, and maintaining technology services.

Responsibilities:

• Be an integral part of large-scale client business development and delivery engagements.
• Develop the software and systems needed for end-to-end execution on large projects.
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions.
• Build the knowledge base required to deliver increasingly complex technology projects.

Qualifications & Experience:

• A bachelor's degree in Computer Science or related field with more than 15 years of technology experience.
• Strong experience in System Integration, Application Development, or Data-Warehouse projects, across enterprise technologies.
• Software development experience using object-oriented languages (e.g., Python, PySpark) and frameworks.
• Stakeholder Management skills.
• Expertise in relational and dimensional modelling, including big data technologies.
• Exposure to all SDLC processes, including testing and deployment.
• Expertise in Microsoft Azure is mandatory, including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service, etc.
• Good knowledge of Python and Spark.
• Experience in ETL & ELT processes.
• Understanding of scripting languages.
• Knowledge of enabling analytics using cloud technology and ML Ops.
• Experience with Azure Infrastructure and Azure DevOps is a strong plus.
• Proven ability to keep technical skills current and contribute to deep architecture discussions in Azure cloud systems.
• Forward thinker and self-starter characteristics.
• Ability to work with a global team across multiple projects.
• Skills in designing application architectures, integration approaches, and launching cloud-based systems.
• Passion for educating, training, and building end-to-end systems for diverse customers.
• Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.

Skills:

• Data Ops, ML Ops
• Deep expertise in Azure Databricks, ETL frameworks
• Expertise in Microsoft Azure components as listed above