... document reliable pipelines that bring data from external platforms into our data warehouse. - A leading self-storage provider in Spain (multinational company) - Data Engineer role for a temporary project What you'll do - Proven experience designing and building ETL/ELT pipelines to integrate data into a central Data Warehouse. ...
... data quality, testing, and monitoring (e.g. Great Expectations, logging, alerting). - Design data pipelines that power Generative AI applications , including data preparation, enrichment, and feature generation. - Integrate 3rd party APIs into data workflows for use cases such as: - Automated data enrichment and classification ...
... certification - Project management and service certifications (PMP, Prince2, ITIL, Lean, 6Sigma, etc.) and agile methodologies (Scrum, Kanban, etc.) - Certification in a Data Governance solution. - Knowledge of Cloud environments. - Experience in data exploitation in information environments: Datawarehouse / Data Lake. Job description ...
... Pandas, NumPy, and Scikit-learn. - Experience developing supervised and unsupervised learning models. - Knowledge of SQL and experience working with relational databases. - Experience in processing and analyzing large volumes of data. Holding a disability certificate will be positively valued, within the framework of our ...
... everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position DESCRIPTION We are looking for a Principal Data Engineer to join our growing team of Advanced Data Analytics experts. This role calls for a seasoned expert with a robust mix of technical prowess, comprehensive ...
... state-of-the-art IT systems. What you'll do - Develop and enhance the Group's risk data platform, data pipelines, and reporting capabilities. - Translate complex risk data into decision‑relevant insights and dashboards - Drive automation and scalability of risk data processing and analytics workflows - Act as a key interface between ...
... policies for Credit Risk Modelling - Building models for ECL, Capital and Stress Testing for Mortgages - Delivering real impact to the product through rigorous data-driven solutions - Collaborating with product owners, engineers, and data scientists to continually solve complex data problems What we're looking for - A degree ...
... required: - Technical education in Aerospace, Industrial Engineering, or similar. - At least 3 years of experience in aeronautical maintenance, MRO, or technical data analysis. - Experience working with databases and maintenance data. - Use of Python for data analysis. - English level B2/C1 Holding a disability certificate ...
... design and architecture of ShipStation Global's data platform. - Contribute directly to the implementation and operations of our systems. - Be an advocate of data quality and observability principles and use Databricks Lakeflow and Spark to process data and get our datasets just right. - Foster engineering excellence by ...
... What other aspects do we value? 📚 Education in Computer Engineering, Data Science, Mathematics, Telecommunications, or related disciplines. Interest in the data field, technology, and digital transformation. Motivation to build a career in Data Engineering, Data Analytics, or Data & AI areas. Curiosity about new technologies ...
... Artificial Intelligence (AI), Artificial Intelligence Technologies, Biostatistics, Business Mindset, Change Management, Change Management Processes, Curious Mindset, Data Governance, data governance and management (Inactive), Data Literacy, Data Quality, Data Quality Management, Data Science, Data Visualization, Deep Learning, ...
... Director, Data Products will play a critical role in accelerating the transition from legacy data and reporting capabilities to the organisation's strategic data platform. The role will focus on translating business priorities into scalable data products, enabling delivery of the Data Platform and Data transformation roadmap, ...
... the role of Data Engineer and can expect to be involved in the following: 1. Data Exploitation & Engineering: Extract, clean, and harmonize cross-functional datasets from diverse business areas (Design, Engineering, Finance, Manufacturing, and Testing). 2. Decision Support Systems: Design, build, and maintain data inference ...
... Generation) frameworks, and architecting systems where rich metadata, lineage, and business semantics are embedded to enable reliable AI reasoning. - Modern Data Fabric Architecture: Proven expertise designing data fabrics and federated data models that connect distributed biomedical data sources (genomics, clinical, imaging, ...
... quasi-experimental designs, and incrementality measurement) to reduce decision latency. - Product Partnership & Enablement: Act as a strategic advisor and coach to Data Analysts, Data Scientists, and PMs on hypothesis development, experiment design, and success metrics to raise overall experimentation maturity. - Education: Build ...
... and maintain robust and scalable data pipelines (ETL/ELT) 🔄 · Implement processes for ingesting, transforming, and loading large volumes of data 📦 · Ensure data quality, consistency, and traceability through automated validations ✅ · Manage and optimize relational and NoSQL databases 🗄️ · Orchestrate data flows using ...
... implementation and adoption of data governance policies, standards, and controls across business domains. - Maintain governance documentation, including metadata, data lineage, data inventories, and data product records. - Promote data management best practices to improve data quality, consistency, and trustworthiness. ...
... we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that ...
... Science, Data Science, Physics, or a related discipline - Essential Knowledge and Professional Experience - at least 3 to 5 years experience in a Earth Sciences data environment - Competences - Data management in a Linux-based environment - Earth data formats and tools - Python - Communication skills to get the requirements ...
... Education in Industrial Engineering, Chemical Engineering, Physics, Mathematics, or related disciplines. - A master's or doctoral degree in areas related to data science, modeling, optimization, industrial processes, or energy will be especially valued. - Minimum of 3 years of experience in data science, modeling, mathematical ...