Parallel Consulting
Employees
51-200
Total Jobs
32
Last 90 days jobs
6
Parallel Consulting is an information technology company.
Company website
Crunchbase
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This company description is sourced from Crunchbase.
Tech at Parallel Consulting
Jobs
| ETL/ELT, Analytics, Oracle, SQL, Data Quality, PostgreSQL, XML, Python, Bash, Computer Science, Data Engineering | |||
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analytics engineer
Power BI Developer @ parallel-consulting
NL | 2025-08-27
This role is a high-stakes, technically demanding position focused on Power BI and Power Platform development. The job requires deep expertise in data modeling, DAX, Power Query, and integration...
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Data Modelling, Microsoft, Power BI, DataViz, DAX, SQL, Azure | ||
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promoted
O'Reilly: Building AI Agents with Model Context Protocol (MCP)Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs. |
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| Analytics, Agile/Scrum, ADF, Azure, SQL, Microsoft, Data Modelling, dimensional modeling, DevOps, Azure DevOps, CI/CD, Git, C, PowerShell, SSIS, Computer Science | |||
| ETL/ELT, Analytics, Oracle, SQL, Data Quality, PostgreSQL, XML, Python, Bash, Computer Science, Data Engineering | |||
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data scientist
Deep Learning Engineer @ parallel-consulting
DK | 2025-07-09
This role seeks a data engineer to build and optimize deep learning models, collaborate with data scientists, and manage MLOps pipelines. The position requires expertise in PyTorch/TensorFlow,...
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RNNs, AI/ML, API, Cloud Computing, MLOps, Python, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, NLP | ||
| Analytics, DWH, Oracle, PostgreSQL, SQL, ETL/ELT, Data Quality, XML, Python, Bash, Computer Science, Data Engineering | |||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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| Python, AI/ML, LLM, Analytics, DataViz, Big Data, Playwright, Cypress, RDBMS, ELK, Cloud Computing, AWS, GCP, Azure |
