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Build and maintain data pipelines and models for Oura's financial data, including revenue, LTV, and Corporate Scorecard, using SQL, Python, and cloud tools like AWS and Databricks.
Build and maintain data pipelines and models for Oura’s hardware manufacturing, integrating MES/ERP systems to track production yield, device traceability, and supply chain health.
Senior Data Engineer builds and scales Human Interest’s data pipelines and warehouse (Snowflake, Airflow, dbt) to power reliable reporting and AI-ready analytics for a fintech retirement platform.
Job Purpose As a Senior Software Engineer (AI), you will play a pivotal role in driving the adoption of Artificial Intelligence and Machine Learning across our product and engineering ecosystem. You will lead the…
Data Engineer in Lima, Peru who designs and operates production data pipelines and lakehouse architectures on AWS and Databricks (Delta Lake, Unity Catalog), including log-based CDC ingestion from Oracle/PostgreSQL/MySQL, legacy migrations, and governed personal-data products for BI and AI.
Ready to lead, disrupt and reinvent the sleep industry? We are Emma – The Sleep Company . Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20 markets…
Big Data Engineer at HCLTech (Bangalore/Chennai) building and optimizing large-scale data pipelines and ETL/ELT workflows using Python, PySpark, SQL, Apache Airflow, Kubernetes, S3-compatible object storage, and table formats like Iceberg/Delta Lake/Hudi. Targets candidates with 6-10 years of experience in Agile teams.
Opportunity Overview: We are seeking a Senior Data Engineer to contribute to the design and delivery of our cloud-native healthcare data platform. You will implement scalable data solutions built on AWS, Apache…
Senior engineer driving AI/ML adoption across Gresham's financial data automation products: designing and deploying LLM-powered apps, RAG/semantic search, and AI agents, plus building scalable AI services on enterprise data platforms. Core stack: Python, LangChain/LlamaIndex, MCP, AWS, Databricks/Spark.
Builds data warehouse solutions for a 4-month remote project: designing ETL pipelines in Python/Apache Airflow, integrating sources via GraphQL/REST, designing data storage architecture with Apache Iceberg, testing data quality, and setting up Prometheus metrics and alerts. Domain: HR / digital employee profile.
Lead Software Engineer on HSBC's data/analytics platform in Kraków (hybrid, 6 days/month on-site), designing and optimizing PySpark data pipelines on Apache Iceberg, running Iceberg maintenance/automation, promoting CI/CD and code quality, and mentoring engineers. B2B contract via Antal; strong English required.
Continental’s Data & Customer Solutions Competence Center develops innovative digital products that support both our customers and internal teams, and we’d love for you to be part of it! Our Digital Solutions IT…
The Senior Data Engineer will build and scale the data foundation for Vi's enterprise AI health platform, managing end-to-end data pipelines, modeling, and quality. The role involves using Python, SQL, AWS, and distributed processing frameworks to support predictive AI models in production.
Building high-scale, low-latency streaming data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume real-time data systems end to end,…
Building high-scale batch and near-real-time data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume analytical data systems end to end,…
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Senior engineer on Expedia Group's Data Lake and Catalog team, building and operating the core Lakehouse and data discoverability platform so analytics and product teams can find and trust data. Day-to-day involves designing scalable services, mentoring, and production ownership using JVM (Kotlin/Java), the Hadoop ecosystem (Spark, Hive), Apache Iceberg, and AWS data infrastructure (EMR, S3, Glue)
Build and maintain data models and pipelines for Anduril’s AI-powered defense systems, using SQLMesh, Palantir Foundry, and Apache Iceberg to create reusable analytics that drive real-time decision-making.
Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Build and maintain a scalable data platform for analytics and AI-driven defense systems, using cloud infrastructure, Kubernetes, and modern data tools to support mission-critical operations.
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