Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. As a Data Consultant at Endava you will focus on the technical implementation of various data projects, from designing and building DW solutions, to developing end to end migration frameworks or building data reporting systems. Responsibilities: Lead the development of solution architectures. Ensure the availability and use of appropriate tools and methods. Prepare technical plans and coordinate resources within change programs. Advise on technical aspects of solution development and ensure correct application of strategies, policies, standards, and practices, including security. Develop and implement master data management processes, including classification, security, quality, ethics, retrieval, and retention. Create data management structures and metadata for consistent information retrieval, analysis, and interpretation. Plan effective data storage, sharing, and publishing within the organization. Provides expert guidance on database and data warehouse architectures, software, and facilities. Specializes in DBMS and data warehouse design. Ensures database design supports performance and availability, and data warehouse design meets business intelligence and analytics needs. Oversee all software development stages, planning and driving construction activities. Adopt suitable methods and techniques, monitor adherence to standards, including security, and contribute to organizational policies and guidelines. Qualifications 5+ years of experience in systems architecture for large-scale data warehouse platforms and applications. Strong data modeling skills (normalized and multidimensional). Proficient in data analysis and SQL, with strong SQL scripting experience. Experience implementing ELT processes and building data pipelines. Proficiency with data tools such as BigQuery, Redshift, Snowflake, and similar. Experience with cloud data technologies and tools. Familiarity with distributed computing environments. Experience with Spark, Hadoop, Apache Beam, Dataproc, or similar tools. Knowledge of real-time and batch processing. Proficiency in programming languages like Python, Scala, or similar. Experience with serverless processing. Familiarity with AWS technologies. Advanced English level. Experience leading teams. #J-18808-Ljbffr