Data Analytics Engineer / Architect

Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analytics Engineer / Architect on a permanent contract to strengthen the Infopro Digital Automotive team in Nashville, TN.

Infopro Digital Automotive develops digital tools and software dedicated to the performance of decision-makers in the various sectors of the automotive aftermarket industry. Services benefit various automotive stakeholders, such as car manufacturers, aftermarket parts producers, distributors, and workshops. Further brands include ETAI, Eucon, HaynesPro, OATS, Inovaxo, Autronica, ETAI Ibérica, IsiCondal, Carooline, Haynes, DriveRightData, GiPA and Aurelis.

Join Infopro Digital and become a Key Player in our Team!

With exciting job opportunities worldwide, Infopro Digital opens up a vast universe of professional challenges. Joining our group means plunging into the heart of stimulating collaborations within multidisciplinary teams.

The challenge awaiting you:

As a Data Analytics Engineer / Architect (m/f/d), you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.

You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.

The tasks awaiting you:

You will be responsible for :

• Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups.
• Develop and evolve data models using dimensional modeling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment.
• Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases.
• Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach.
• Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows including code reviews and best practices.

Our data stack:

• Snowflake, Databricks, Microsoft Azure
• dbt, SQL, Python
• Dimensional modeling, Data Vault 2.0, Anchor Modeling
• Semantic layers, Power BI, product-facing APIs
• Git, Azure DevOps, YAML, code reviews
• Data testing frameworks, cataloging and lineage, Claude Code