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Data Engineer role developing and optimizing data pipelines using Azure, Databricks, PySpark, and Azure Data Factory within a Data Warehouse Cloud environment, with responsibilities spanning both data engineering and DevOps/infrastructure tasks.
Data Engineer building and consolidating a GCP Data Cloud platform, designing ingestion/transformation pipelines with BigQuery, dbt, Composer, Python, and SQL in an Agile team.
Data Engineer responsible for modernizing a data platform and migrating it to the cloud, building Spark pipelines (Java), migrating legacy SQL/PL-SQL treatments, and industrializing pipelines on Databricks.
Senior Snowflake Data Engineer designing data transformations, industrializing pipelines, and evolving client data platforms as part of a Nantes-based consulting team.
Snowflake Data Engineer at Sopra Steria building data flows, ingesting and qualifying data for banking clients, collaborating with Data Architects in a ~100-person data engineering team.
LabSoft is seeking an experienced Data Engineer to design, industrialize, and optimize cloud-based data pipelines on Azure using Databricks and PySpark. The role involves managing data workflows, implementing CI/CD practices, and collaborating with business teams to improve performance and cost efficiency.
A Data Engineer who builds and optimizes data pipelines on public cloud platforms using Spark, Kafka, Snowflake, and AWS/GCP/Azure environments in an agile team with craftsmanship practices, while receiving mentorship to improve skills.
GCP Data Engineer building and industrializing a Data Cloud platform, handling data ingestion, transformation, and exposure using Python, SQL, BigQuery, dbt, and Composer in a hybrid role in Aix-en-Provence.
Data Engineer migrating and optimizing a GCP BigQuery Data Warehouse platform for an aerospace/defense client, with CI/CD setup and performance tuning responsibilities.
Lead data platform design and development on AWS/Databricks (Spark, Airflow) for petabyte-scale vehicle validation time-series data, while mentoring a data engineering team.
Sevetys is hiring a Data Engineer to build and scale a modern data platform from scratch, focusing on data ingestion, transformation using DBT, and ensuring data quality. The role involves collaborating with a small data team to support business decision-making and improve the company's overall data architecture.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with Data, DevOps, and Security teams to ensure high-quality data ingestion and processing.
As a Data Engineer, you will design and maintain data pipelines, model databases, and build data architectures to support business decision-making. You will work with technologies like SQL and Python to optimize data flows and create reporting dashboards.
The Data Engineer will design and deploy robust data pipelines on GCP and BigQuery to support large-scale data platforms. The role involves data transformation and ensuring data reliability and governance within a collaborative team in Lille.
Stellantis is seeking a Senior Data Engineer to design and maintain scalable data platforms using AWS and Databricks. The role involves developing data pipelines with Spark, Scala, and Python while providing technical leadership and mentoring to the engineering team.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
The Senior Data Engineer will design and develop batch and streaming data pipelines using Spark, while managing data collection, storage, and system monitoring within an agile team.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
The AI & Data Engineer will design and industrialize data and AI solutions, focusing on building data pipelines, deploying cloud infrastructure on Azure, and integrating LLM and RAG models. The role involves maintaining platforms through CI/CD, testing, and continuous monitoring.
As a Data Engineer at Size Up Consulting, you will design and maintain data pipelines, model databases, and create dashboards to support business decision-making. The role requires strong proficiency in SQL and Python to optimize data flows and build modern data architectures.
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