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Erfolg beginnt dort, wo Erfahrung auf Exzellenz trifft und Daten echte Wirkung erzeugen. Wir sind die AI & Data Performance Company – mit über 750 Datenenthusiastinnen und -enthusiasten in Deutschland, Österreich,…
Build and maintain data pipelines in BigQuery and SQLMesh to power creator payouts, revenue reporting, and product analytics for a music-creation platform.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
We are dedicated to building a cleaner, more sustainable future. By applying innovative technology and data-driven insights to green environmental initiatives, we help measure, analyze, and reduce environmental impact…
Build and deploy data pipelines that bridge customer warehouses to Hilbert’s AI growth engine, using ClickHouse, Snowflake, BigQuery, and orchestration tools like Dagster and Airbyte.
Builds and maintains data pipelines and infrastructure to feed AI-driven growth models, integrating tools like ClickHouse, Dagster, and Airbyte.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Build and optimize high-performance Spark data pipelines in Python, migrating legacy SQL ETL to Delta Lake and Airflow orchestration while ensuring privacy-preserving data collaboration.
Build and maintain ETL pipelines to move transactional data into a modern data warehouse, write SQL transformations, and ensure clean, reliable data for analytics and risk teams.
Build and maintain data pipelines and analytics for renewable energy supply and revenue optimization using Python, SQL, DBT, and Flyte.
Senior Platform Engineer building data infrastructure with dbt, Python, Databricks, and Dagster, plus monitoring and mentoring junior engineers.
Build and maintain scalable data pipelines and warehouses for a fintech platform using SQL, Python, dbt, and Snowflake to power analytics and client-facing products.
Build and maintain Snowflake-based data infrastructure and ETL pipelines for research analytics, deploying production-grade data products and models for Barclays Global Research.
Build and maintain data pipelines, optimize SQL and Python code, and design robust data models to power analytics and dashboards using Databricks and Azure.
**Make an impact with NTT DATA** Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and…
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Build and maintain production data pipelines on Databricks, transforming raw data into clean, governed datasets for analytics and AI teams using PySpark, SQL, and Delta Lake.
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