Data Engineer / DataOps (M/F)

Inside is a digital consulting and services company that simplifies and accelerates business transformation, from strategy to implementation, with a clear objective: to produce concrete and sustainable results.

We support our clients across their entire value chain: Cloud & Infrastructures, Digital, Transformation & Projects, Cybersecurity, AI. We combine strategic vision, operational excellence, and collective intelligence to align business and technological challenges and drive projects forward concretely.

Joining Inside means joining a company for which Human, Excellence, and Commitment are levers for progress, trust, and individual and collective performance. At the heart of our Great Place to Work certified corporate culture: quality of life at work, skill development, and CSR commitment.

At Inside, everyone has the opportunity to learn, contribute, and grow within a demanding, caring, and future-oriented collective.

Your missions as a Data Engineer / DataOps:

As a Data Engineer / DataOps, you will intervene from the scoping phases to ensure the consistency, performance, and sustainability of data foundations and pipelines within the team.

You will play a key interface role between business units, project teams, and technical teams, in demanding IT production environments.

Design & industrialization of pipelines

• Design and develop ingestion and ETL pipelines for massive data (Spark, Python, Java).
• Deploy modern real-time or near-real-time data flow architectures (Kafka, streaming flows).
• Implement rigorous end-to-end data integrity and quality control mechanisms.

Automation & Observability (DataOps)

• Automate the continuous deployment of technical foundations via the implementation of CI/CD pipelines.
• Ensure operational supervision, observability, and production monitoring (metrics, logs, and Elastic suite).
• Perform fine-grained optimization and performance tuning of distributed processing (Spark tuning, reduction of data shuffling).

Documentation & governance

• Write detailed functional and technical documentation related to modern data architectures (Data Lakehouse / Data Mesh).
• Contribute to the definition of best practices for development, traceability (Data Lineage), and cloud cost rationalization (FinOps).
• Guarantee flow compliance with application security standards and regulatory requirements.

Steering & coordination

• Support MOE teams, Data Scientists, and business departments in the exploitation of the data platform.
• Follow and lead rituals and project progress in compliance with validation processes.
• Actively contribute to the continuous improvement of technical foundations and change management.

Profile sought:

Experience & skills:

• Bac+4/5 education (Engineering school or University Master's in computer science).
• Confirmed experience (from 5/6 years) in Data Engineering and DevOps/DataOps practices.
• Operational English level is imperative (international context and documentation).

Expected technical skills:

• Languages: Indispensable mastery of Python, SQL and ideally Java (Spring Boot).
• Distributed Computing & Storage: Apache Spark, PySpark, S3 storage (MinIO), Iceberg, Trino.
• Streaming: Expertise in Apache Kafka or equivalent messaging technologies.
• DataOps / CI/CD: Common practice of automation tools (GitLab CI, Jenkins, Azure DevOps, Docker).
• Observability: Mastery of monitoring foundations (Elastic Suite, Elasticsearch, Kibana, Logstash).
• Project Methodologies: Proven practice of Agile (Scrum) and DevOps modes.

Human qualities:

• Sharp analytical mind and great rigor regarding code quality and reliability.
• Pronounced autonomy and ability to operate in critical production infrastructures.
• Excellent written and oral communication to popularize distributed architectures.
• Strong team spirit and appetite for sharing technical skills.

Remuneration: starting from €45,000 gross annual.

Where to apply?

📩Send your application to the Inside HR Team

✨Inside is much more than a job: it is a career built together, serving ambitious and meaningful projects

For more information:https://insidegroup.fr/rejoignez-nous/