Lead the design and implementation of scalable ETL pipelines and data lakes in AWS
Develop and optimise data architectures for terabyte-scale relational and distributed data systems
Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics platforms and applications
Smart Working connects skilled professionals with outstanding global teams for full-time, long-term roles. They help discover meaningful work with teams that invest in your success, empowering you to grow personally and professionally in a remote-first world.
Designing, deploying, and optimizing data-driven machine learning solutions on AWS.
Creating secure and scalable ML systems, enabling effective data management and model deployment.
Leading the enhancement of best practices within the data and ML lifecycle, making a substantial impact across projects and teams.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
Model, store, and transform data to support analytics, reporting, and downstream applications.
Build API-based and file-based integrations across enterprise platforms.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Design, build, and scale the lakehouse architecture that underpins analytics, machine learning, and AI.
Modernize our data ecosystem, making it discoverable, reliable, governed, and ready for self-service and intelligent automation.
Operate anywhere along the data lifecycle from ingestion and transformation to metadata, orchestration, and MLOps.
OnX is a pioneer in digital outdoor navigation with a suite of apps. With more than 400 employees, they have created regional “Basecamps” to help remote employees find connection and inspiration.
Proactively identify data science use cases throughout the organization as well as new datasets.
Develop business intelligence solutions and conduct ad-hoc analyses to meet these needs and support data-driven decision making.
Build and manage assets in Tuesday’s data lake (Azure Databricks, dbt) leveraging a variety of datasets.
Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. Through our leading-edge care model, Tuesday Health is shaping the future of community-based palliative care nationwide.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Build, fine-tune, and deploy AI models using the Azure AI Foundry platform.
Design and optimize AI pipelines for scalability, performance, and cost-effectiveness.
Implement prompt engineering techniques for effective model interaction.
Jobgether is a platform that connects job seekers with companies using an AI-powered matching process. They focus on ensuring applications are reviewed quickly and objectively, ultimately sharing top candidates with hiring companies.
Own the data infrastructure and pipelines for business critical product and user data
Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
Take an AI-first approach to scaling Runway’s data tooling and use.
Runway is building AI to simulate the world through merging art and science. They aspire to continuously build impossible things and their ability to do so relies on building an incredible team.
Define and execute data platform strategy through a 2-3 year roadmap that unifies architecture.
Establish enterprise data quality standards by overhauling governance frameworks, metadata management, and compliance protocols.
Implement business data modeling practices by developing canonical models, semantic layers, and business glossaries.
ezCater is a food for work technology company in the US, connecting workplaces to over 100,000 restaurants nationwide. They provide flexible and scalable solutions for employee meals and meetings, backed by 24/7 customer service and a customizable platform. Backed by top investors, ezCater fosters an innovative, high performing environment.