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Senior Data Engineer (energy, JR633, JR634)
Senior Data Engineer builds scalable data pipelines and databases for a UK renewable energy firm, using SQL, Python, Databricks, and AWS to support analytics and modeling.
MLOps Engineer / AI Data Engineer
Build and maintain AI/ML pipelines, deploy models, and manage lifecycle with tools like MLflow, Kubeflow, or cloud platforms (AWS SageMaker/Azure ML).
Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Data Engineer (Azure / Databricks / Spark)
Builds and maintains a large-scale predictive-maintenance pipeline for jet engines using Python, Spark, Databricks, and Azure cloud services.
Senior Azure Data Engineer-hybrid
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Data Engineer (Azure & Databricks)
Builds and maintains enterprise-scale data pipelines and analytics infrastructure using Azure and Databricks for a client team.
Senior Data Engineer (Databricks)
Build and maintain data pipelines on Databricks, using Python and cloud platforms to transform and automate data workflows.
Data Engineer (Databricks)
Builds and maintains scalable data pipelines using Databricks, PySpark, and ETL processes to power analytics and reporting in a data warehouse.
Azure Databricks Data Engineer — Lakehouse & Pipelines
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and SQL to transform and integrate data for scalable cloud analytics.
Data Engineer
Builds and maintains data pipelines and warehouses using SQL, Python, and Snowflake/dbt to support analytics and reporting for a product-focused team.
Senior Data Engineer – Energy Data Pipelines & Databricks
Design and implement scalable data pipelines and analytics solutions using Databricks, Python, and AWS to build data lakes and end-to-end data workflows for energy data.
Remote Backend Engineer - Python, Data-Driven Experiments
Build Python services and data pipelines for A/B testing and experiment analytics, integrating with Spark/Databricks and collaborating with search/recommendations teams.
Junior Big Data & AI Engineer - Remote & Cloud
Builds cloud data pipelines and ML apps using PySpark, Databricks, Scala and Python to deliver real-world AI solutions.
Data Engineering Analyst: Build End-to-End Data Pipelines
Build and optimize end-to-end data pipelines using SQL, Python, and cloud platforms like Azure Data Factory and Databricks.
Data Engineer | Snowflake + dbt | Remote Impact Architect
Design and lead modern data architectures for enterprise clients using Snowflake, dbt, and related tools, while driving scalable, profitable solutions and communicating technical value to stakeholders.
Senior Data Engineer (m/f/d)
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Solution Architect
Designs and oversees Azure Databricks-based AI solutions for enterprise clients, ensuring scalable, data-driven decision platforms.
Data Engineer (Google Cloud Platform)
Build and maintain GCP-based data pipelines using Cloud Dataflow, Airflow, and BigQuery, ensuring data quality and availability for business analytics and reporting.
Data Engineer: ETL/ELT Pipelines en la Nube
Build and maintain cloud-based ETL/ELT pipelines for data integration from IoT/ERP sources using Python, SQL, Snowflake, and Databricks.