Data Engineer GCP - Python / Spark - Climate Risks & Credit > 3a @ Paris - Freelance (M/F)

France | Sept. 25, 2026

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Company: Collective.work

Country: France

Type: Onsite

Employment: Full-time

Description: Daily rate (TJM): €430 excluding tax, slightly negotiable depending on seniority

Location: Paris
Start desired: As soon as possible
Experience sought: 3 to 6 years

CONTEXT & CHALLENGES

Within the Technology & Operations entity - Corporate DSI, you will join the “Loss, Guarantees and Warehouse Risks” field » as part of the strategic project “Climate & Physical Risks”.

The objective of the project is to build and evolve a Data solution allowing ingest, aggregate and expose data from multiple sources, in order to produce the business reports necessary for monitoring credit risk.

The platform is developed on Google Cloud Platform (GCP) and is part of a Data environment with high stakes, high volume and high visibility. You will join an experienced team and will be involved in the design and development of treatments as well as their industrialization, their maintenance in operational conditions and the evolution of associated infrastructures.

Prior experience in credit risk or, more broadly, in a banking environment constitutes a real asset.

DETAILED MISSIONS

As a GCP Data Engineer, you will be responsible in particular for:

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   The design and the development of Data solutions on Google Cloud Platform;

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   The development and integration of Python / Spark processing;

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   The design, implementation and evolution of data ingestion and processing pipelines;

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   The ingestion, aggregation and exposure of data from multiple sources;

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   The development and the optimization of high-volume processing;

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   The collection, storage and exploitation of different data flows;

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   The supervision and integration of data of different types;

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   The control and improvement of data quality and security;

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   The structuring of databases;

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   Management of metadata and repositories;

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   Documentation and mapping of different data sources;

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   Contribution to the industrialization of processing and models;

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   Industrialization of Machine Learning models as well as their maintenance in RUN;

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   Maintenance and monitoring of the RUN of applications developed;

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   The maintenance of associated Data infrastructures;

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   The proposal and implementation of developments to existing Data infrastructures and solutions.

TECHNICAL STACK

DEVELOPMENT & DATA

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   Python: excellent mastery essential

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   Spark: excellent mastery essential

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   Development and integration of Data solutions on Google Cloud Platform

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   Data ingestion and processing pipelines

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   High-volume Data processing

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   Industrialization of ML processing and models

GOOGLE CLOUD PLATFORM

Excellent operational mastery of GCP is expected, particularly on:

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   BigQuery

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   Dataproc

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   Cloud Composer

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   Cloud Functions

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   Cloud Run Jobs

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   Google Cloud Storage (GCS)

DEVOPS

Good command of the DevOps chain is expected, in particular :
We are looking for a confirmed GCP Data Engineer with 3 to 6 years of experience, with concrete and significant experience in Python / Spark development on Google Cloud Platform.

You will need to be able to demonstrate operational use of BigQuery, Dataproc, Cloud Composer, Cloud Functions, Cloud Run Jobs and Google Cloud Storage.

A good command of DevOps practices and tools is also expected, in particular Terraform, Jenkins

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