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Build and optimize large-scale data pipelines on Databricks and Spark, integrating raw data into analytics-ready stores and exposing insights to business teams.
Build and maintain robust data pipelines for a multi-energy company, using Python, Spark, and databases to ensure high-quality data flows across an international team.
Senior Data Engineer building scalable Databricks pipelines in Scala/Python, optimizing Spark workloads, and coaching teams on cloud data architectures for enterprise clients.
Senior Data Engineer at Talan builds and optimizes Databricks/Spark pipelines for large-scale data integration, coaching teams and advising clients on cloud and real-time streaming tech.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Design and maintain industrial data pipelines, optimize databases, and enable AI/BI insights for manufacturing teams.
Data Engineer builds ingestion pipelines and maintains data systems for a digital transformation in aerospace manufacturing.
Design and build scalable data platforms and pipelines to accelerate digital transformation using Python, Databricks, MLflow, and cloud platforms.
Builds and maintains scalable, eco-friendly data pipelines using Python/Scala and Spark for sustainable data projects with startups and enterprises.
Design and scale knowledge-graph infrastructure for simulation and analytics in Python, C++, or Rust, supporting mission-critical aerospace and defense systems.
Design and build large-scale data architectures for clients using Spark, Scala, Hadoop, Hive, and Kafka, focusing on renewable energy and AI projects.
Senior Software Engineer building data collection pipelines to power Deepki’s climate-tech platform for real-estate sustainability analytics.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and deploy data pipelines and cloud infrastructure on AWS for an energy-sector client, enabling trading, analytics, and sustainability use cases with PySpark, Databricks, and Python.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Senior Python engineer building scalable data pipelines and applications to modernize energy-sector systems using Python, Pandas, and DevOps practices.
Lead data projects for an industrial group, designing architectures for time-series data, APIs, and future AI initiatives to optimize energy infrastructure performance.
Senior Data Engineer builds large-scale data pipelines and transformations using Databricks and AWS services for a climate-tech energy company.
Designs and maintains industrial data pipelines using SQL Server and Azure Datalake to support real-time analytics and reporting for an international manufacturing or logistics firm.
Build and maintain large-scale geospatial data pipelines on Kubernetes, collaborating with data scientists and ML engineers to enable AI-driven energy market analytics.
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