Top Tech Jobs & Startup Jobs

Work as a data engineer consultant on client projects and internal AI solutions: design cloud architectures (GCP/AWS/Azure), build ETL/data pipelines, containerize and orchestrate apps with Docker/Kubernetes, develop Python server-side tools and CI/CD, support ML infrastructure, and implement security and IaC practices.

Work in multidisciplinary teams to apply advanced analytics, machine learning, optimization, and Generative AI/LLMs to solve client business problems, present results, and facilitate workshops.

Lead client engagements designing front-to-back capital markets operating models, optimizing post-trade processes, and enabling technology. Advise on trade lifecycle, settlements, custody, reconciliations, collateral, vendor/platform selection, regulatory and control considerations. Drive business development, mentor teams, and support delivery of implementation roadmaps, pilots, and adoption for institutional broker-dealers, banks, and market infrastructure providers.

Lead strategy and transformation engagements for luxury, FMCG, retail and hospitality clients. Define project approaches, manage multidisciplinary teams, deliver quantitative and qualitative analysis, translate strategy into implementation, drive client relationships, develop sector expertise, and leverage AI, data and digital tools to generate insights and outcomes.

Support consulting teams by collecting, curating, and classifying strategic data; generate market and account intelligence; leverage AI-enabled tools for insights; coordinate cross-functional knowledge sharing; prepare strategic materials and briefings; monitor community performance and promote reusable solutions and best practices.

Lead automation testing and QA activities within an agile team: design and execute test automation, produce secure high-quality code, create architecture artifacts, analyze large datasets to improve systems, identify hidden issues, and contribute to engineering communities and inclusive team culture.

Design, build, and maintain Power BI dashboards and reusable tabular data models; administer Power BI Service; ingest and transform data using SQL/Python and ETL tools; support stakeholders with ad-hoc reporting, documentation, demos, and Power Platform requests.

Serve as trusted advisor to ensure successful implementation, adoption, and ongoing satisfaction of Stratumn customers. Manage relationships, lead success reviews, translate customer needs into functional specs, coordinate with Solution Engineers and Product/Engineering, drive implementations and testing, support production transitions, monitor usage, and promote best practices for increased adoption.

Curate, classify, and organize internal and external knowledge assets using AI-enabled tools. Maintain metadata, taxonomy, and repository hygiene; ensure data quality and governance. Support consultants with content retrieval, reporting, and continuous improvement of KM processes.

Design, build, and maintain ETL pipelines, semantic models and SQL transformations. Develop and optimize Power BI dashboards (DAX, Power Query, RLS), lead end-to-end BI projects, troubleshoot performance, document data lineage, and mentor junior analysts to enforce BI best practices.