Data Engineer (M/F) – 5+ Years of Experience – Paris
Ika Vision, a Paris-based data consultancy, is hiring a Data Engineer (5+ years) to design, build, and industrialize modern data platforms for clients — data pipelines, data lakes, and data warehouses — using SQL, Python/Scala, Spark, Kafka, Airflow, and cloud platforms (AWS/Azure/GCP). Permanent (CDI) or freelance, hybrid in Paris with 2-3 remote days per week.
- Compensation
- Not disclosed
- Location
- Paris, France
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Proven experience in Data Engineering (minimum 5 years)
- Strong proficiency in SQL
- Proficiency in at least one programming language (Python / Scala)
- Experience with Big Data environments
- Solid knowledge of Data Lake and Data Warehouse architectures
- Comfortable with batch and streaming processing
- Ability to work in a team and communicate with business stakeholders
- Autonomous, rigorous, and analytical mindset
Nice to have
- Experience with Cloud Data platforms (BigQuery, Snowflake, Redshift)
- Knowledge of BI tools (Power BI, Tableau)
- Awareness of Data Quality / Data Governance topics
- Experience in Agile environments
Full description
Ika Vision is hiring a Data Engineer to support its clients in the design, implementation, and industrialization of modern data platforms (Big Data, pipelines, data lakes, data warehouses).
Key Information
Location: Paris (hybrid depending on client)
Experience: 5+ years
Contract: Permanent (CDI) / Freelance (to be adjusted)
Remote work: 2 to 3 days per week
Start date: As soon as possible
Responsibilities
- Design, develop, and maintain reliable and scalable data pipelines.
- Collect, transform, and structure data from multiple sources.
- Implement data lakes and data warehouses.
- Ensure data quality, reliability, and availability.
- Optimize performance of batch and streaming processes.
- Collaborate with Data Science, BI, and business teams.
- Contribute to defining data architectures.
- Document data flows and best practices.
Profile (5+ years)
- Proven experience in Data Engineering (minimum 5 years).
- Strong proficiency in SQL and at least one programming language (Python / Scala).
- Experience with Big Data environments.
- Solid knowledge of Data Lake and Data Warehouse architectures.
- Comfortable with batch and streaming processing.
- Ability to work in a team and communicate with business stakeholders.
- Autonomous, rigorous, and analytical mindset.
Technical Stack (depending on assignment)
Languages: Python, SQL, Scala
Big Data: Spark, Hadoop
Streaming: Kafka, Spark Streaming
Data: Data Lake, Data Warehouse
Cloud: AWS / Azure / GCP
Orchestration: Airflow
Databases: PostgreSQL, BigQuery, Redshift, Snowflake
Bonus
- Experience with Cloud Data platforms (BigQuery, Snowflake, Redshift).
- Knowledge of BI tools (Power BI, Tableau).
- Awareness of Data Quality / Data Governance topics.
- Experience in Agile environments.
- High-value Data projects.
- Diverse assignments in modern technical environments.
- Support and skills development.
- Career growth aligned with your ambitions.
- A human-sized company, close to its consultants.