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Build fraud-detection rules and risk models using BigQuery/SQL and Python, then visualize findings in Grafana to protect a SaaS identity platform serving banking, fintech, and gaming clients.
Build and maintain software systems that ingest, process, and integrate experimental data for a generative biology company, using Python, cloud-native tools, and APIs to connect wet lab workflows to data platforms.
About Sisense Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications…
Build AI-powered systems and internal tools to automate secondhand fashion supply chains, integrating marketplace data with agentic infrastructure for resellers and retailers.
Build and evolve Neo4j’s Snowflake Native App, embedding graph analytics into Snowflake via SQL-facing APIs, Java/Python runtimes, and containerized deployments for enterprise data teams.
Build and maintain scalable data pipelines, event streaming, and Gold Layer data marts for Just Eat Takeaway.com’s retail media platform using BigQuery, dbt, Airflow, and AI-assisted tools.
Build and optimize backend services in Go for Semrush’s enterprise marketing platform, focusing on APIs, distributed systems, and CI/CD while mentoring peers.
Designs, builds, and optimizes GCP-based data pipelines and BigQuery solutions for a banking client, ensuring efficient data access and analytics.
Build and maintain Hadoop-based data pipelines for a bank, writing Python and SQL to process and validate financial data.
Builds and optimizes data pipelines in GCP/BigQuery, models retail metrics in dbt, and crafts self-service LookerML layers for business users.
Builds and maintains scalable data models, ELT pipelines, and semantic layers to power analytics and BI for cross-functional teams.
Designs and builds AI-powered data pipelines and REST APIs using Python, FastAPI, and GCP services like Vertex AI and BigQuery.
Design and build cloud-native data pipelines using Microsoft Fabric, Azure Synapse, and Python to enable scalable analytics and data-driven decisions.
Build and maintain the MLOps infrastructure for an AI-first video platform, enabling ML engineers to ship models fast and reliably on GCP using GitOps, Kubernetes, and tools like MLflow and Kubeflow.
Company Overview LevelUp is a specialist agency that provides outsourcing solutions to agencies, software vendors, and website owners. For over seven years, we have successfully collaborated with a variety of…
Principal engineer leading architecture and real-time analytics for iSpot’s ad-measurement platform, scaling cloud-native data pipelines and mentoring teams in ad-tech.
Builds and maintains production data pipelines for robotics telemetry, sensor data, and operational signals, integrating with cloud infrastructure (AWS) and enabling cross-team access for ML, analytics, and deployment teams.
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Spark to process and transform large datasets for analytics and reporting.
We Go Beyond: At Bed Bath & Beyond , we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s…
Lead the design and operations of Apple’s real-time data platform, building ETL/ELT pipelines, multimodal data processing, and ML inference integrations to power intelligent search and analytics.
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