Data Engineer | Databricks

Description

Job Summary: We are seeking a Data Engineer to lead strategic initiatives on the data platform, ensuring reliable and accessible information for analytics and decision-making. Key Highlights: 1. Lead strategic initiatives on the data platform 2. Work with cutting-edge technologies 3. Collaborate with cross-disciplinary teams Job Description We are seeking a **Data Engineer** to lead strategic initiatives on our data platform. This professional will play a critical role in data modeling, organization, and delivery, ensuring that information is reliable, scalable, and accessible for analytics, visualization, and decision-making. This role will directly contribute to building modern data solutions and accelerating the digital transformation of our clients. At Avanade, you will have the opportunity to work with cutting-edge technologies, collaborate with cross-disciplinary teams, and develop solutions that deliver real business impact. **Together we do what matters.** **Learn more about some of our benefits:** * Meal or food allowance * Multibenefit Card (up to Senior Consultant) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * Avababy: pregnancy support and welcome kit for new parents * Company profit-sharing program * Wellhub * Childcare assistance * Career mentoring * Birthday Off policy (one day off during your birth month) * Well-being sessions For managerial roles: company vehicle, parking allowance, and fuel assistance * **Responsibilities** * Design and implement efficient, scalable, and business-aligned data pipelines. * Develop and maintain data ingestion and transformation pipelines on Google Cloud Platform (GCP). * Build solutions for Data Lake, Data Warehouse, and Data Mart. * Define and apply relational and dimensional data modeling standards, with emphasis on performance, scalability, and usability. * Translate business requirements into clear, consistent, and sustainable data models. * Support data consumption via Business Intelligence tools, ensuring semantic quality and query performance. * Ensure data quality, governance, security, and compliance across the entire data lifecycle. * Monitor and optimize cloud environment costs and performance. * Collaborate with cross-disciplinary teams to promote best practices in data engineering and architecture. Qualification **Skills and Experience** **Required Knowledge** * Advanced experience in conceptual, logical, and physical data modeling, especially in analytical environments. * Strong knowledge of SQL and best practices for Data Warehouse and BigQuery design. * Experience with Python and Spark for data processing. * Proficiency in the GCP ecosystem, including: BigQuery; Dataflow; Dataproc; Pub/Sub; Cloud Storage; Composer. * Experience with data visualization tools, especially Power BI, including semantic modeling, performance optimization, and data consumption. * Hands-on experience with CI/CD practices, code versioning, and pipeline automation. Knowledge of modern data architectures, such as Data Mesh, Lakehouse, and streaming solutions. * **Preferred Qualifications** * Experience with various data modeling approaches, such as Star Schema, Snowflake, and Data Vault. * Experience in scalable, governance-oriented data environments