Top Tech Jobs & Startup Jobs

The Kafka Engineer will design, build, and maintain high-performance data streaming pipelines, manage Kafka infrastructure, and collaborate with teams on integration and security mechanisms.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.

Lead design, development, and optimization of enterprise Power BI solutions within Azure and Fabric. Drive Tableau-to-Power BI migrations, implement best practices for data modeling, DAX, Power Query, and performance tuning. Manage Power BI administration, governance, security (RLS), deployment pipelines, and capacity. Mentor BI developers, coordinate with data engineering and stakeholders, and ensure scalable, compliant reporting solutions.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

Lead Architect will design and deliver large-scale, cloud-native data platforms on Azure and Snowflake, build ETL/ELT pipelines with ADF and Databricks, optimize Spark and Snowflake performance, integrate diverse data sources, implement governance and CI/CD, and enable analytics and ML/AI use cases for enterprise clients.

Lead design and deliver scalable, secure Azure-based data architectures for insurance platforms (Lloyd's marketplace). Translate business objectives into end-to-end solutions, provide architecture leadership across data platforms and integrations, drive strategy and innovation, support underwriting/claims/policy processes, create roadmaps and data storytelling, and manage stakeholder expectations and governance throughout projects.

The Data Modeler is responsible for designing and architecting enterprise data applications, focusing on data modeling, strategy, and warehouse development.

As a Fullstack Senior Engineer, you will develop and maintain frontend and backend applications for data-driven projects, collaborating with a multidisciplinary team on API integrations and user interface designs.