Data Engineer Senior Big Data (H/F)

Job Title

Data Engineer Senior Big Data (H/F)

Location

Paris 15ème, France
Telework: 2 days remote, 3 days on site

Contract

CDI

Salary

Up to 55 K€ depending on profile and experience

Start Date

As soon as possible

Experience Level

Senior (confirmed Big Data expertise)

Duration

Long‑term mission (reinforcement of the Chapter)

About the Role

• Sector: Banking / Digitalisation & Data
• Main objectives: Strengthen the "Data Chapter" on engineering activities linked to a strategic project with high business and digital transformation stakes.
• Role in the team: Support various squads in designing and delivering their data use cases while ensuring uniformity and coherence of the global data model.
• You will work on building high‑value solutions in a Cloudera environment, with a consulting mindset and strong business focus.

Responsibilities

• Architecture & Design: Participate in defining the data architecture together with architects and the squad.
• Pipeline Development: Refine user stories, design and develop multi‑source collection and storage solutions (batch and real‑time) using an internal Spark‑based framework.
• Quality & Testing: Implement unit and automated tests to ensure code robustness.
• Deployment & Operations: Deploy the product across environments, monitor production, and manage incidents.
• Continuous Improvement: Promote best practices within the team (code quality, clean code).

Technical Environment (Stack)

• Languages: Spark (Streaming & Batch), SQL (required); Scala, Kafka, Java, Shell (nice to have).
• Big Data Framework: Hadoop Cloudera (required).
• Databases: SQL (Hive, Phoenix) and NoSQL (HBase, MongoDB).
• Methodologies: Scrum (Enterprise Agile framework).

Profile / Requirements

• Proven expertise in Data Engineering within complex Big Data environments.
• Ability to translate business needs into performant technical solutions.
• Strong technical rigor in ingestion automation and flow orchestration.
• Internal consultant posture: advise squads and product owners on optimal technical directions.

Additional (optional) Assets

• Mastery of the Kafka ecosystem for real‑time processing.
• Experience implementing CI/CD pipelines for data projects.

Why SCALIAN?

• Career development: 1‑year onboarding program with manager and HR, personalized training programs, technical communities, internal events.
• Quality of work life: Great Place to Work® and Best Workplaces for Women certifications, referral bonus, vacation bonus, telework agreement.
• RSE policy: Sustainable mobility, environmental actions, inclusive recruitment and disability support.