Senior Software Engineer responsible for building, developing, testing, and deploying scalable cloud-based applications and backend solutions on Microsoft Azure, including data ingestion pipelines and large‑scale data‑processing solutions.
Responsibilities
Build, develop, test, and deploy scalable applications and backend solutions on Microsoft Azure.
Build and optimize data ingestion pipelines and large-scale data-processing solutions using Python, PySpark, Apache Spark, Kafka, and Azure services.
Design event-driven architectures and integrations using APIs, REST services, and messaging technologies.
Develop and maintain Delta Lake solutions using medallion architecture.
Support integration with Databricks, SQL databases, and hybrid storage solutions.
Support the expansion of AI‑driven automation and tooling within the View of Risk team, building automated workflows, maintaining analytical pipelines, and running catastrophe models.
Responsibilities
Supporting the expansion of AI‑driven automation and tooling
Assisting in building automated workflows for catastrophe model evaluation
Helping to develop and maintain analytical pipelines and scripts
Preparing and processing data for model development
Supporting calibration, validation and documentation of catastrophe model changes
Requirements
Degree in a quantitative or natural science discipline
Supporting critical initiatives in defense data handling and analysis, including managing DoD test data, digitizing historical records, and contributing to missile defense system sustainment.
Responsibilities
Assist in the ingestion, organization, and processing of DoD test data from various mission sources, ensuring accurate and timely delivery to weapon system analysts.
Support the digitization of a national archive, including scanning, cataloging, and metadata tagging of historical documents.
Contribute to data management tasks related to elite missile defense systems, such as data validation, quality assurance, and integration into analytical workflows.
Collaborate with cross-functional teams to develop and implement data protocols that comply with DoD security standards and regulations.
Perform routine data audits, generate reports on data integrity, and identify opportunities for process improvements.
Requirements
Current enrollment in an undergraduate or graduate program in Data Science, Information Technology, Computer Science, Engineering, or a related field
Nice to have: DoD data standards
Nice to have: Compliance frameworks (e.g., NIST)
Nice to have: Mission test data protocols
Nice to have: Experience in defense, aerospace, or government sectors
Senior Analyst supporting SPDJI’s DeFi and digital‑assets initiatives in London, providing market analysis, data extraction, project coordination and content development.
Responsibilities
Conduct market, competitor and ecosystem analysis across DeFi, tokenisation, digital assets and blockchain-based market infrastructure
Extract, combine and analyse data from onchain and traditional sources to assess market activity, product adoption, commercial potential and competitive positioning
Support the evaluation and development of index‑related use cases for tokenised products, onchain benchmarks, perpetual and other digital derivatives, decentralised applications, prediction markets and programmable financial products
Translate technical concepts, market developments and partner proposals into clear commercial analysis, recommendations, presentations and decision materials for senior stakeholders
Support and coordinate defined workstreams across Product Management, Research & Design, Technology, Index Governance, Legal, Commercial and Marketing, maintaining project materials, tracking actions and helping progress priority initiatives
Requirements
Undergraduate degree in finance, economics, mathematics, engineering, computer science, data science or another relevant discipline
Nice to have: AI and automation tools
Skills
Analyst, BI & Analytics
Liberty Latin America Communications, Inc. · Posted Aug 27, 2026
The role involves building small to mid-size business intelligence (BI) solutions –data sets, queries, reports, dashboards, analyses– to answer business questions and deliver insights from data.
Responsibilities
Improvement opportunities in LCPR’s operations that can be addressed using BI and analytics-based solutions.
Engage with customers and cross-functional teams to collect requirements for BI solutions.
Develop and maintain scalable dashboards, reports, and visualizations that deliver actionable insights and support strategic-decisionmaking for key partners.
Conduct in-depth analysis to determine root-causes of market performance.
Work on both the front-end (data analysis and visualization) and the back-end (basic troubleshooting, writing scripts to fetch data, etc..) of reports, analyses, or dashboards.
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