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The Analytics and Modeling Manager leads the delivery of advanced analytics solutions and manages a team to solve complex business problems for clients. The role involves utilizing statistical modeling, machine learning, and data science techniques to provide actionable insights across various industries.
Builds and applies statistical models and machine learning to deliver data-driven insights and solutions for clients across industries like finance, healthcare, and retail.
Senior Data Architect leading 10+ data engineers to build and optimize a Databricks Lakehouse platform on Azure for a financial services firm, focusing on PySpark, Delta Lake, Unity Catalog governance, and Spark performance tuning.
Hands-on Data Engineer building scalable data ingestion pipelines, custom frameworks, and Medallion architecture data lakes using Databricks, Azure Data Factory, Python/Scala/SQL, and Power BI on Azure cloud.
Senior Data Scientist developing and deploying ML/DL models using Python, TensorFlow, PyTorch, and Spark, with Cloud MLOps experience on Azure/AWS/GCP and technical leadership duties.
Design, implement, and maintain the messaging infrastructure that supports real-time data exchange between factory automation systems, the MES, and enterprise IT platforms. Deploy, configure, and manage distributed…
Senior Data Scientist specializing in ML and Cloud MLOps, building predictive/deep learning models, deploying cloud-based pipelines, and mentoring teams for a Spanish multinational client.
The Lead Solution Architect will design and deliver scalable technology solutions using Office 365, Azure, and Agile methodologies. This role involves collaborating with cross-functional teams to translate business requirements into technical blueprints while providing leadership throughout the SDLC.
The Data Engineer will design and manage advanced data platforms for the financial sector, focusing on building data pipelines and integrating market data. The role requires strong expertise in JVM languages, cloud environments, and data pipeline tools like Spark or Flink.
The Observability team at Apple is seeking an engineer to build control plane tooling and automation for large-scale time series databases while contributing to the development of distributed data platform features. The role requires strong software engineering fundamentals and operational expertise to ensure the reliability and scalability of internal observability infrastructure.
Intermediate Data Engineer Minimum Requirements: Matric (Grade 12) Masters in Software Engineering, Data Engineering, Computer Science or related field 2-3 years of relevant work experience Strong Scala or Java…
Minimum requirements: Post Graduate Degree: Information Technology Post Graduate Degree: Information Studies Masters Degree: Information Technology Masters Degree: Information Studies Experience Minimum 3 years…
Annuncio di Lavoro: Senior Project Manager – Settore Ospitalità Luogo di lavoro: Sardegna, Italia Settore: Consulenza Edilizia / Hospitality & Real Estate Profilo Aziendale: Per conto di una consolidata società di…
Senior Software Architect & DevOps Engineer | Kubernetes & Microservices Sector: HealthTech / Medical Software Location: Hybrid (Bremen base – approx. 4 days/month on-site) Salary: €100,000 The Opportunity I am…
Contract Position Remote position Minimum Requirements: Matric, with a degree in Computer Science, Business Informatics, Mathematics, Applied Statistics/Applied Mathematics Physics, or Data Engineering. Certification…
Key roles and responsibilities: Undertake the processing of structured and unstructured data to utilize in data science activities. Support the data analysis of large information to discover trends and patterns and…
Data Platform Engineer - 12 Month Contract Key Responsibilities Platform Engineering & Development Design, implement, and maintain Big Data platforms (e.g., Hadoop, Spark, Kafka) used across the CIB environment.…
Location: Johannesburg (on-site) Position Type: Permanent Travel Required: Yes JOB PURPOSE The Data Scientist is responsible for applying advanced analytical and machine learning techniques to solve complex business…
Key purpose: To ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with…
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