Data Development Engineer / Big Data Spark (M/F)

Job Description:

Are you passionate about data and do you want to design reliable models that enable business teams to make the best decisions? Do you like transforming complex data into robust analytical assets, industrializing pipelines, and evolving a Modern Data Stack? Join Data Factorii as an Analytics Engineer and participate in high-impact Data projects in an international environment.

But what does the Data Factorii team address?

As an Analytics Engineer (M/F), your missions will be to: Build and industrialize data transformation pipelines: Design reliable and automated pipelines feeding dashboards, business analyses, and artificial intelligence models.Design business data models: Develop and maintain a high-performance semantic layer to make data accessible, consistent, and exploitable by business teams.Guarantee data quality: Implement best practices for modeling, validation, and quality control to ensure the reliability of the data provided.Evolve analytical datasets: Maintain and enrich existing models to meet new functional needs and support evolving usages.Contribute to the Data strategy: Participate in technical choices regarding the Modern Data Stack and promote Analytics Engineering best practices.Collaborate with Data teams: Work in close collaboration with Data Engineers, Data Analysts, Data Scientists, and Product teams to develop solutions meeting business challenges.Participate in continuous improvement: Drive the evolution of standards, documentation, data governance, and development practices.

What we offer you: An attractive salary, evolving according to your experience and skills.Innovative Data projects in an international environment.Modern technologies and a true Data culture.Continuous skill development in Analytics Engineering best practices.Health insurance and 100% coverage of transportation costs. Partial teleworking for a better work-life balance.***And above all, the opportunity to join a community of experts passionate about Data.

Profile Description:

Concretely, what are we asking for?

First, soft skills in phase with our culture: You are curious, rigorous, and quality-oriented.You enjoy working in a team and sharing your knowledge.You possess excellent analytical and synthesis skills.You are proactive and sensitive to development best practices.You like understanding business challenges in order to build high-value-added solutions.

Second, a solid technical background: A minimum of 4 years of experience as an Analytics Engineer, Data Engineer, or 6 years as a Data Analyst with a strong Data Engineering dimension.Excellent mastery of SQL and good mastery of Python. A solid experience with Spark. Solid experience with dbt, notably for data modeling and transformation.Expertise in Apache Airflow for pipeline orchestration.Experience with Databricks and the AWS Cloud environment. A good knowledge of modern data architectures and the Modern Data Stack. Solid experience in dimensional modeling (Kimball, Data Vault, One Big Table). Good mastery of Git, GitHub, CI/CD practices, and development tools.A good understanding of Data Lineage, Data Governance, and data documentation concepts.A good level of English to operate in an international environment.Experience with Agile methodologies (Scrum/Kanban). The little extras that will make a difference: Knowledge of Great Expectations for data quality.***Experience with Tableau. A curiosity for Modern Data Stack tools such as Polars, DuckDB, Malloy, or MetricFlow. A strong appetite for performance issues, data quality, and optimization of analytical models.

And above all, do you wish to contribute to building modern analytical platforms that allow business teams to fully exploit the value of their data?

Then join Data Factorii and participate in the construction of tomorrow's Data solutions!