Job Summary: A data specialist responsible for transforming business requirements into technical solutions, analyzing practices and processes, identifying future opportunities, and building modern data pipelines and data service APIs. Key Highlights: 1. Transform business requirements into technical solutions 2. Build modern data pipelines and data flows 3. Make a lasting impact on the technology world Job Description Apply modern data engineering techniques and advanced analytical methods to support business decision-making for Avanade’s clients. Collect, aggregate, and analyze structured and unstructured data to deliver valuable insights. Welcome to the world of Data Engineering! As a data specialist, you will be responsible for transforming business requirements into technical solutions by analyzing current practices and processes and identifying future opportunities. You will help plan and implement data design services, build modern data pipelines, data service APIs, and much more. Join us on this innovation journey and make a lasting impact on the technology world. **Together we do what matters.** Learn more about some of our benefits: * Meal or food allowance; * Multibenefit Card up to Senior Consultant level; * Medical and dental insurance; * Certifications and training; * Life insurance; * Private pension plan; * Avababy: pregnancy support and welcome kit for new Avanade parents; * Company profit-sharing program; * Wellhub; * Childcare assistance; * Career Advisor – Career mentoring; * Birthday Off policy for your birthday and for children up to age 12; * Wellness sessions; For managerial or higher-level roles – Corporate vehicle, parking allowance, and fuel assistance. * **Responsibilities:** * Translate business requirements into technical solutions. * Analyze current business practices and identify future opportunities. * Support the planning and implementation of data design services. * Deliver architectures for data solution transformations and modernizations. * Design and build modern data pipelines and data flows. * Develop and maintain data warehouse schemas and databases. * Expose data to end users using modern visualization platforms. Qualification **Skills and Experience:** * Advanced English. * Proficiency in Data Engineering, with expertise in Kusto Query Language (KQL). * Solid experience with Azure Data Explorer (ADX) and related telemetry platforms. * Strong understanding of data structures, indexing, and query optimization. * Familiarity with Power BI, Azure Monitor, and Application Insights. * Strong problem-solving and analytical skills. * Ability to work independently and within multidisciplinary teams.