Spoke Lead Data Engineer

Pluxee is a global player in employee benefits and engagement that operates in 31 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits.

Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants.

Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.

Employee Contract type:
Permanent Regular

Job Description:
Pluxee is a Global Leader in Employee Benefits and Rewards services present in 31 countries. Our Vision is to “bring to life a personalized employee experience at work and beyond”. We have embarked on a significant digital transformation and growth program coupled with a revision of our commercial processes, tools and KPIs.

Your next challenge

Pluxee is a global player in employee benefits and engagement that operates in 31 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits.

Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants.

Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.

As we reinvent our employee benefits products and accelerate in the employee benefits and engagement market as now a listed group, the marketing team will play a vital role in accompanying business strategy and the growth ambition, relying on strategic initiatives to impact, grow and inspire our people and teams.
- Your next challenge_

What you will do:
Data Engineering:

- Ingest data into the company data platform
- Design Data Model (star schema, data vault) and tables (SCD pattern) to ensure data accuracy and relevance and to feed Power BI dashboard, IT systems, etc
- Build optimized and cost-efficient data ingestion workflows on a hybrid infrastructure (on premise / cloud) mixing several technologies: Rest API, SQL & NoSQL databases, batch and fileswith different latencies (from batch to Realtime)
- Qualify the code (PR review) & guarantee quality of development
- Participate in local, regional and global projects
- Guide and lead Data Engineers in Data Spoke
- Support in the review and use of global assessments and support in their improvement

Data Platform:

- ensure that the rules of use of the platform are respected
- Enhance data quality following Data Governance principles
- Ensure compliance with data protection law

Project Management:

- Understand and interpret business objectives, adeptly converting them into technical workflows that align with our strategic goals.
- Write technical specifications
- Ensure the progress of development and delivery dates are respected
- Follow technical workload of all Spoke Data Engineer
- Collaborate with Data Spoke Project Manager to understand business request and define planning
- Agile squad features tracking and coordination meeting and stand-up

Manage Spoke Data Engineer Team
- 4 Spoke Data engineers (internal + consultants) from Chile, Peru and Mexico
- Ensure that best practices are followed, and usage of generic assets is understood by all data engineers
- Collect Spoke data feedback processes and collaborate with Data Spoke Manager to ensure the evolution of Spoke Data Engineer.
- Maintain a close relationship and alignment with the Data Hub Team, especially the Hub Lead Data Engineer and Hub Data Engineers.

You’re a match - What we're looking for:

- Computer Science and/or any other engineering Degree.
- At least 4 years building and managing ETL and ELT processes.
- Advanced knowledge of data lake and data warehouse for analytical and operational purposes.
- Advanced knowledge of data engineering tools and process (Azure platform)
- Strong SQL skills: querying, procedures and basic administration tasks
- Strong knowledge of Python (Scala is a plus).
- Cloud computing: storage, serverless, API(Azure is a plus)
- Previous experience distributing computation with Spark (Databricks or Spark)
- Devops principles with CI/CD (Azure Devops) and infrastructure as code.
- Knowledge in AI Engineering
- Fluency in English is required.
- Agile Project Management (organized on Azure Boards)
- Microsoft Certified: Azure Data Engine