What you'll do: Build and evolve a self-service Data Platform enabling teams to reliably ship data pipelines, ML and AI products. Design scalable ingestion, processing, and consumption pipelines (batch and real-time), and extend the platform with…
What they ask for: Proficiency in Python (Java is a plus) and strong data engineering fundamentals, including distributed processing and storage. Experience with infrastructure-as-code (Terraform) and container orchestration (Kubernetes) in cloud…
What you'll do: Lead the design, build, and governance of reusable data models and data architectures, and develop complex data pipelines (ETL/ELT). Design and optimize data lakes and data warehouses and operationalize analytics into production-ready…
What they ask for: Bachelor's or Master's degree in a technical field such as Data Science, Computer Science or Engineering; at least 5 years of experience as a Data Engineer or senior data/engineering role in a consulting or advisory capacity. Fluency in…
What you'll do: Lead and implement the technical roadmap for client data platforms, ensuring architecture cohesion across data ingestion, processing, and analytics. Manage end-to-end data pipelines and collaborate with data scientists to deliver data…
What they ask for: 5-7 years in a similar data engineering/lead role with hands-on experience building production ETL/ELT pipelines on Azure (Data Factory, Databricks, Synapse). Strong SQL, data warehousing principles, cloud architecture, and experience with…
What you'll do: Design, build, and maintain reliable ETL/ELT pipelines using Spark and Databricks to support research workflows. Collaborate with cross-functional teams to define data engineering best practices and mentor junior engineers.
What they ask for: The role requires a seasoned Data Engineer with expertise in modern data stack tools like Spark and Delta Lake. Candidates should have a strong focus on scalability, performance tuning, and the ability to translate research workflows into…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information from various sources across the infrastructure portfolio. Additionally, you will develop dashboards, metrics, and data models to provide actionable…
What they ask for: Candidates must hold a university degree in a relevant field such as data science, computer science, or engineering. You are required to have at least three years of experience in data integration and engineering, along with hands-on…
What you'll do: You will design, build, and maintain data pipelines and models to integrate information across a large infrastructure portfolio. Additionally, you will collaborate with stakeholders to create dashboards and decision-support tools that…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is required.