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449 - Data Engineer SQL / DBT – Data Platform (M/F)

Original title: 449 - Data Engineer SQL / DBT – Data Platform (H/F)

Nicholson SAS · Île-de-France, France · Hybrid · Senior

  • Île-de-France, France · Hybrid
  • 12 mois
  • French

Indexed (today) · refreshed constantly

Budget
€48 / h
Start
ASAP
Duration
12 mois
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior

Required skills

Nice to have:BigQueryPub/SubGitLab CI/CDDocker ComposeLinuxGitAgileScrum

Languages: French

Job description

Seeking a Data Engineer with SQL and DBT expertise to integrate Salesforce data into a financial data platform. The role involves designing, maintaining, and automating data pipelines, ensuring data quality and reliability.

Project details

Massy

Start Date: ASAP

End Date: 02/11/2027

Remote Work: 2 days per week (3 days on-site)

€380 HT

Experience: 3 to 7 years

Mission Context

Within a team dedicated to financial data services, our client is looking for a Data Engineer SQL / DBT to contribute to the integration of data from its Salesforce ecosystem into its Data platform.

The mission is part of a digital environment focused on financial services, with the objective of ensuring the reliability and automation of data flows to facilitate their use by analysis and customer knowledge teams.

Main Missions

Expected Deliverables

Required Technical Skills

Complementary Skills Appreciated

Profile Sought

Work Environment

Mission Conditions

  • Design and maintain data ingestion pipelines from Salesforce Marketing Cloud and Salesforce Financial Cloud via API.
  • Transform, clean, normalize, and structure business data for integration into the datamesh.
  • Automate synchronization flows to ensure data freshness and reliability.
  • Monitor data flows, including logs, alerts, and operational indicators.
  • Document ETL processes and the mapping between Salesforce and BigQuery objects.
  • Collaborate with Data and business teams to ensure data quality and usability.
  • Operational and monitored API connectors.
  • Documented ETL transformation and loading scripts.
  • Data flow monitoring dashboards, with alerting and transfer logs.
  • Technical documentation of the mapping between Salesforce and BigQuery objects.
  • SQL: very good mastery of data manipulation and analysis.
  • Data & Cloud: experience with Data environments and Google Cloud Platform (GCP).
  • Salesforce Data Cloud: mastery of the environment and its functionalities.
  • DBT for data transformation and orchestration.
  • BigQuery and advanced SQL on large volumes.
  • Pub/Sub for real-time flow management.
  • GitLab CI/CD and Docker Compose.
  • Linux and command-line tools.
  • Git.
  • Agile / Scrum methodologies.
  • Master's degree (Bac+5) in computer science, engineering school, or university, or equivalent experience.
  • 3 to 7 years of experience in Data Engineering, particularly in SQL / DBT environments.
  • Analytical skills, rigor, and autonomy in designing reliable data flows.
  • Good interpersonal skills and ability to collaborate with multidisciplinary teams.
  • Experience in retail or mass distribution would be a plus.
  • Location: Massy
  • On-site presence: 3 days per week
  • Remote work: 2 days per week
  • Start Date: ASAP
  • Planned End Date: November 2, 2027
  • Daily Rate: €380 HT/day
  • Start: ASAP
  • Duration: 12 mois
  • Remote: hybrid
  • Location: Île-de-France, France, FR
  • Rate: 48-48 EUR/h
  • Languages: French

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