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Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and maintain high-performance data pipelines for a real-time ad-tech platform, enabling ML models with clean, scalable data while working in a fast-paced engineering team.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Build and maintain scalable Azure data pipelines and architectures using Data Factory, Databricks, and Synapse to ingest, transform, and integrate data for analytics and reporting.
Build and maintain Preply’s scalable data lake and real-time ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features.
Senior Data Engineer to design and build a greenfield data infrastructure for AI-driven growth, including pipelines, warehousing, and analytics for product, CRM, finance, and marketing teams.
Design and build cloud-native data pipelines on GCP to power analytics and AI, ensuring scalable, governed, and secure data platforms for enterprise use.
Design and maintain data pipelines and ETL processes to support AI/ML models and quantum computing applications using Python, SQL, and cloud platforms.
Build and maintain scalable data lakehouse architectures and ETL pipelines to feed BI, analytics, and AI workloads for a product company.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Lead a team to build and maintain Azure-based data pipelines and storage, ensuring performance and quality while mentoring engineers.
Build and scale AI-driven products using LLMs, RAG pipelines, and vector databases with Rust or Golang, from prototype to production in rapid cycles.
Build and maintain observability systems (OpenSearch, Grafana, Prometheus) to monitor Sateliot’s satellite constellation and ground infrastructure, ensuring uninterrupted IoT connectivity.
Build and maintain the backend of a cybersecurity/AI platform that maps enterprise systems, integrates data sources, and optimizes distributed workflows using Python, .NET, or Java.
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, Snowflake, and Azure, focusing on cloud data warehousing and dimensional modeling.
Design and build a cloud data platform for drone telemetry, logs, and media, handling high-rate time-series data and schema evolution for dashboards and analytics.
Build and maintain scalable data pipelines and products for Tryg’s AI-driven insurance pricing, portfolio management, and underwriting using Databricks, SQL, and Python.
Build and own end-to-end data pipelines in Snowflake and AWS, modeling billions of records into bronze, silver, and gold layers to power business insights and AI agents.
Senior Data Engineer builds scalable data pipelines and products to turn raw insurance data into trusted, business-ready datasets for analytics and AI at Tryg’s new Nordic AI Hub.
Builds and maintains a cloud-based data platform (AWS, Snowflake, Databricks) for a proptech company, focusing on pipelines, governance, and enabling product teams to use data effectively.
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