Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and serverless technologies.
Build and optimize complex Azure T-SQL solutions and develop automation frameworks with Python and API orchestration.
Own production pipeline reliability, enforce coding standards, and partner with US onshore leadership to translate business needs into technical solutions.
We are WPP Media, WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. We are a global collective with a culture of respect, belonging, and growth opportunities.
Lead end-to-end first order and new business analytics, from defining questions with stakeholders to building datasets, analysis, and clear recommendations.
Drive deep analysis of pipeline, attainment, and sales metrics using SQL and Python to uncover trends, risks, and opportunities.
Collaborate with Sales, Finance, and Customer Success to translate business needs into scalable analytical solutions and tools.
GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity and accelerate digital transformation. Trusted by over 50 million users and more than half of the Fortune 100, the company fosters a high-performance, remote-first culture driven by values and continuous knowledge exchange, with all team members expected to incorporate AI into their workflows.
Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation.
Participate in on-call rotation to triage and resolve ETL failures and data unavailability.
Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting.
Splice is a creative platform for music makers, providing a subscription service with sounds, samples, and AI tools. The company has a remote team across the US and UK, fostering a collaborative culture.
Define, maintain, and document core metrics used across the product and business.
Build and maintain recurring dashboards and reporting in a BI platform.
Analyze product, customer, and commercial data to answer questions from product, sales, and business teams.
CelebriOS is a software company building B2B SaaS products that help businesses make better decisions, streamline operations, and get more value from their data. We offer a remote-first working environment and professional development opportunities.
Design and run the full deal workflow from origination to closing, implemented as governed automation with LLM-assisted steps.
Build the data layer for borrower financials and payment telemetry, including Xsolla transaction data, using PostgreSQL and Python.
Develop credit scoring and forecasting models with proper validation, and ship audit-grade dashboards for investors and borrowers.
Xsolla is a global commerce company providing tools and services for the video game industry, helping developers fund, distribute, market, and monetize their games. With over 1,500+ game developers served and headquartered in Los Angeles, Xsolla fosters a supportive environment that values creativity, collaboration, and well-being.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Define strategic Databricks adoption roadmaps and platform guardrails for enterprise clients.
Embed with client teams to implement high-priority use cases, then guide them toward self-service.
Act as a data engineering SME in pre-sales and coach client teams on Databricks best practices.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. They are a fully remote global company with employees across Canada, the United States, and Latin America, fostering a culture of technological curiosity and inclusion.
Design, develop, maintain, and optimize ETL and data transformation processes.
Develop and maintain Apache Spark-based data pipelines and contribute to data integration initiatives.
Ensure data quality, reliability, and performance across data processing solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, the company delivers impactful, future-ready solutions.
Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.