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Data Engineer (H/F) - Lille

Scalian·Salary not specified

Primary stack

PythonSQLDatabricksAirflowCI/CDDockerKubernetes

Nice to have's

GCPDevOpsAgile

Job description

About the Position

Data Engineer (H/F) - Lille

  • Location: Lille, France
  • Remote Work: 2 to 3 days of remote work
  • Type of contract: CDI
  • Remuneration: According to profile
  • Experience required: Minimum 5 years
  • Sector: Banking - Retail

About the Company

In the TOP10 of Engineering Consulting Companies in France, the SCALIAN Group operates in industrial project management services, supply chain, architecture, and development of embedded digital systems, information systems applications, and artificial intelligence in sectors as varied as aerospace, space, automotive, rail, services, luxury, or retail.

Founded in 1989, SCALIAN now has over 5,500 employees spread across 11 countries and 15 locations in France, with a turnover of 550 million euros. SCALIAN works for major CAC40 groups on projects in AT or fixed-fee contracts.

Certified as a Great Place to Work, SCALIAN experiences 20% growth each year.

Why SCALIAN?

  • Because Scalian supports your career development: comprehensive onboarding program over 1 year with your manager and HR, personalized training programs, technical communities, internal events
  • Because Scalian promotes Quality of Life at Work: Great Place to Work® and Best Workplaces for Women certifications, referral bonus, vacation bonus, telework agreement
  • Because Scalian develops a concrete and ambitious CSR policy: sustainable mobility, environmental actions, disability actions (approved agreement, inclusive recruitment process, training for managers and recruiters, disability mission with dedicated time: [email protected])

Responsibilities

  • Design and develop robust and industrialized data pipelines.
  • Collect, transform, and integrate data from multiple sources.
  • Participate in the design and evolution of Data architectures (Data Lake, Data Warehouse).
  • Ensure the quality, reliability, and availability of data.
  • Optimize the performance of data processing and flows.
  • Automate deployments and data management processes.
  • Collaborate with Data, BI, Development, and Business teams to meet analytical needs.
  • Participate in Agile ceremonies (daily meetings, sprint planning, retrospectives).

Technical environment: Python, SQL, Spark, Databricks, Airflow, Git, Docker, CI/CD, GCP.


Requirements

  • Proven experience in Data Engineering: Python, SQL, Spark.
  • Good mastery of Cloud environments with GCP.
  • Solid DevOps skills: CI/CD, Docker, Kubernetes, deployment automation.
  • Experience with modern Data platforms: Databricks, Airflow, Data Lake, Data Warehouse.
  • Awareness of AI and Data Science topics as well as data exploitation for innovation.
  • Mastery of development best practices, data quality, and Agile methods.
  • Autonomy, team spirit, and ability to be a force of suggestion.

Nice to Have

  • Experience with Data Quality and Agile methodologies.
  • Knowledge of Big Data technologies.

We Offer

  • Competitive salary
  • Structured onboarding and personalized career support (training, job mobility, job bridges)
  • International group with an entrepreneurial DNA, certified as a Great Place to Work®
  • Remote work options

About the Company

Scalian is an international group with an entrepreneurial DNA, certified as a Great Place to Work®, offering a structured onboarding process and personalized career support (training, job mobility, job bridges).

📍 Île-de-France | 💼 CDI

🔷 Position open to people with disabilities / holders of a RQTH

👉 Interested or know someone who fits this profile? Don't hesitate to contact me or apply directly.


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