Cypher Consulting Europe S.L.

Data Engineer

• Design, build, and maintain scalable batch and streaming pipelines using bronze/silver/gold architectures
• Develop reusable transformation frameworks and production-grade Spark workloads
• Implement and optimize Delta Lake solutions, including: ACID transactions, Partitioning strategies, Schema evolution, OPTIMIZE/ZORDER, Incremental and CDC processing patterns
• Configure and manage Unity Catalog permissions, governance, lineage, and auditability
• Perform Spark performance tuning and observability monitoring
• Integrate Databricks with Azure services including ADLS, ADF/Synapse, Key Vault, and Microsoft Entra ID
• Implement CI/CD pipelines and deployment automation using Azure DevOps or GitHub Actions
• Collaborate with architects, analysts, data scientists, and engineers to align technical implementation with business needs
• Continuously improve platform performance, reliability, cost efficiency, and standardization

Azure Databricks Data Engineer

Software Engineer

• Design and develop solutions using Salesforce OmniStudio components: OmniScripts, Integration Procedures, DataRaptors, FlexCards
• Translate business requirements into scalable technical solutions
• Integrate Salesforce with external systems via APIs and middleware
• Collaborate with architects, Product Owners, and other developers
• Ensure performance optimisation and scalability of solutions
• Troubleshoot and resolve technical issues across the platform
• Participate in agile ceremonies and contribute to continuous improvement
• Maintain documentation and best practices

Salesforce OmniStudio Developer

AI Engineer

• Build and maintain scalable data pipelines using Databricks and Azure Data Lake Storage Gen2 (ADLS Gen2), ensuring reliability and performance across all pipeline stages.
• Implement the Medallion Architecture (Raw → Silver → Gold layers) to clean, normalise, and structure technical documentation for downstream AI consumption.
• Design and develop the Reasoning Layer using frameworks such as LangChain or LlamaIndex to manage LLM logic, prompt routing, and tool orchestration.
• Manage and tune Vector Databases (e.g. Pinecone, Weaviate, or Azure AI Search) to enable fast and accurate semantic retrieval across the corporate knowledge base.
• Develop Azure Apps and Azure Functions to connect the AI system to external enterprise platforms such as Salesforce and SharePoint, enabling end-to-end automation.

Azure Databricks Data Engineer

Salesforce OmniStudio Developer

Data & AI Engineer

Azure Databricks Data Engineer