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Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Build and maintain scalable data infrastructure and pipelines for energy-grid analytics, enabling predictive models that optimize grid reliability and support the energy transition.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed data, ensuring scalability and reliability for business needs. Core technologies include Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed formats, ensuring scalability, reliability, and performance for business operations. Core technologies include ETL/ELT, Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Builds and maintains end-to-end data pipelines using Python, Airflow, Snowflake, and Databricks to ingest, transform, and deliver data securely for business decisions.
Build and maintain a secure data platform using Python, Spark, and cloud tools to power threat detection, analytics, and GenAI for Tesco’s cybersecurity defenses.
Builds and maintains scalable data pipelines and analytics solutions in Azure Databricks/Data Factory, focusing on HR/employee lifecycle data. Core tech: Spark, Python/Scala, SQL, Azure services, ETL, and DevOps tools.
Builds and maintains production data pipelines (Python/Airflow) to ingest, transform, and deliver data securely in Snowflake/Databricks, ensuring reliability and governance for Fanatics’ global sports commerce, collectibles, and betting platforms.
Build and maintain scalable GCP-based data pipelines and warehouses to power real-time sports data and AI/ML workloads for a global media brand.
About Independent Media Independent Media comprises The Independent, Standard Digital, Bulletin, BuzzFeed UK, HuffPost UK, Tasty UK, Seasoned, IndyBest and indy100. Harnessing market-leading innovation and excellence…
Develops and scales predictive modeling platforms (embedding-based sequence encoders, survival models, gradient-boosted decision trees) to identify vulnerabilities in housing, health, and social domains using ML pipelines, containerized systems, and responsible AI practices.
Type: Contract, per-project. Location: Remote — European Time Zones (CET/CEST) Availability: Contractor (40 hours per week) We are looking for a Data Platform Engineer to help scale our SaaS platform to support more…
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
Builds the evaluation platform for AI agents that interact with enterprise systems, focusing on scoring agent trajectories, observability, and stateful simulation to measure and optimize agent performance.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Senior Data Engineer building and scaling global data platforms for Delivery Hero's incentive strategies across 70+ countries, working with GCP, BigQuery, Python, and streaming pipelines.
The Opportunity We're looking for a Data Engineer who can translate the needs of a growing finance business into clean, reliable data systems. You'll work across a range of sources, from Bloomberg feeds to…
Lead a team to architect and build scalable data pipelines and warehouse models in Python and SQL, enabling reliable analytics and reporting for a global fertility and family care platform.
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