Senior Data Engineer R&D 26-27 M/F

Forvis Mazars is an international audit, tax, and advisory group. With over 40,000 employees present in about a hundred countries, we are part of the Top 10 global firms. We do serious business... without taking ourselves too seriously. Being part of our teams means, above all, embracing your uniqueness and daring to share your ideas, in a working atmosphere that we invite you to discover. If you want to build your own career path and you love entrepreneurship, you are in the right place!

You will join an R&D team consisting of more than 30 specialists in charge of producing tools for the transformation of financial professions. In particular, you will participate in:

• Improving the operational performance of our clients through the exploitation and enhancement of data on concrete business use cases (strategy, marketing and sales, R&D, finance, etc.).
• Direct interaction with our clients as we analyze issues to help them implement tailor-made technological solutions.

• The end-to-end development of data flows, from the extraction and transformation of our clients' data, to their consumption by web systems or applications and dashboards that we design for them, via datalakes, data-warehouses, data-marts, or APIs that expose this data.
• Deployment of data pipelines in the serverless cloud paradigm (AWS Lambdas, Azure Functions, GC Functions, etc.) but also the use of DevOps techniques and advanced bare-metal virtualization within a pioneering MLOps team (an operational team in CI/CD since 2013).

With a Master's degree (Bac+5) from a generalist or specialized engineering school, or a postgraduate degree in a field related to data (information systems, data processing, big data, statistics, software engineering, etc.):

You have already shown an interest in the field of application development integrating a Data component, through internships, courses, or personal projects involving the back-end and/or front-end development of an application.

You have practical experience and good knowledge of:

• One or more persistence layers (relational DBMS: MySQL / MSSQL / PostgreSQL, No-SQL: MongoDB / ElasticSearch / Node4j, or even S3)
• The design and/or implementation and/or manipulation of datalakes, data warehouses, or data-marts

• The implementation of ETL pipelines and data transformation / analysis scripts (Python, R, Spark)
• You do not envision serious work outside of a Linux system (Ubuntu, Debian, CentOS), or without a version control system (Git), and the use of an integration chain seems natural to you

• You are proficient in spoken and written English.

Initial experience with the following technologies is a plus:

• Awareness of software quality and continuous integration chains (DevOps: Ansible, Terraform, CI/CD)
• Awareness of interaction with multidisciplinary fullstack teams (RestAPI, VueJS)

• Experience with one of the cloud providers (Azure, AWS, GCP), with modern Data Engineering tools:
• Redshift, Azure Synapse, Databricks, ...

• Predictive analysis chain (scikit-learn, TensorFlow, etc.)

Additional Information: We offer each of our employees:

• Company Savings Plan with significant annual Profit-Sharing and Participation bonuses,
• 8 weeks of leave / year

• Flexible teleworking charter (possibility to telework 1 to 2 days per week, with client travel remaining a priority)
• Numerous actions in favor of work/life balance (parenting, Mazars Break, Solidarity Leave, etc.),

• Sustainable mobility package to support your home-to-work travel according to your needs,
• Attractive and comfortable working environment. From 2025, a new Campus in Levallois (5 min walk from the metro): gym, green spaces, roof top, terraces, catering, concierge...

• CSE (sports offers, cinema, art and culture, end-of-year gifts, annual evening, etc...),
• Health insurance customizable according to your needs

• Sports association (running, football, basketball, golf, tennis, or yoga groups, etc.)
• Laptop, dual screen, and Iphone

• American Express card for your professional expenses

Process flow: You will be contacted to undergo 3 interviews of 1 hour each, spread over approximately 3 weeks:

• 1 interview with the technical team
• 1 technical interview with the CTO

• 1 interview with the partner in charge of R&D
• 1 HR and motivation interview with a recruitment officer