Software Engineer

Company Description

Founded in 1990, Roland Berger Paris is one of the leading consulting firms in France, and has more than 300 employees.

The Paris office is recognized as a reference by the largest industrial and service groups, covering multiple business sectors (Aerospace & Defense, Automotive, Consumer Goods, Energy & Environment, Industry, Private Equity, Financial Services, Public Sector, Telecoms & Media, Transport & Tourism, etc.).

Roland Berger helps its clients make decisions by exploring and proposing the best strategic options to face all kinds of changes (digital transformation, economic growth or downturn, disruption in traditional markets, changing environment and frameworks). We deliver tailored strategies and transformation plans.

Our three corporate values, Excellence, Entrepreneurship, and Empathy, are the foundation of our value proposition to our clients, which ranges from analysis to implementation. At Roland Berger, we get things done.

Job Description

As a software engineer on our Product team based in Paris, you will:

1. Create software to increase the productivity of the Roland Berger consultants (data collection, data processing, visualization tools / interactive dashboards).
2. Create custom SaaS products for our clients (API / dashboard / interactive map).
3. Design and implement functional / technical architecture to process large volumes of data.
4. Prototype and assess technologies.
5. Ensure the availability of the architecture to support business requirements.
6. Work closely with the Product Manager and the Tech lead.

Qualifications

At the Paris office, we are primarily looking for people with good communication skills, combining pragmatism and creativity.

Master 2 or an engineering degree with a specialization in computer science.

Required skills:

1. Fluent in English and French; knowledge of an additional language is a plus.
2. Good knowledge of Python.
3. Experience with the design and implementation of APIs.
4. Knowledge of relational databases and NoSQL.
5. Knowledge of the Big Data ecosystem (Hadoop, Spark, etc.).
6. Experience with at least one cloud provider (AWS, Azure, GCP).
7. Experience with CI/CD pipelines, orchestration platforms, and container runtimes.
8. Knowledge of monitoring/logging tools.

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