Lead Azure Data engineer/Architect (w/m)

Lead Azure Data engineer/Architect (w/m)

Edenred is a leading digital platform for services and payments and the everyday companion for people at work, connecting over 50 million users and 2 million partner merchants in 46 countries via roughly 900,000 corporate clients.

Edenred   offers   specific-purpose   payment   solutions   for   food   (such   as   meal   benefits),   incentives(such as gift cards, employee engagement platforms), mobility (such as multi-energy, maintenance, toll, parking and commuter solutions) and corporate payments (such as virtual cards).

True to the Group’s purpose, “Enrich connections. For good.”, these solutions enhance users’ well-being and purchasing power. They improve companies’ attractiveness and efficiency, and vitalize the employment market and the local economy. They also foster access to healthier food, more environmentally friendly products and softer mobility.

Edenred’s 10,000 employees are committed to making the world of work a connected ecosystem that is safer, more efficient and more responsible every day.

In 2021, thanks to its global technology assets, the Group managed close to 30 billion in business volume, primarily carried out via mobile applications, online platforms and cards.

Edenred is listed on the Euronext Paris stock exchange and included in the following indices: CACNext 20, CAC Large 60, Euronext 100, FTSE4Good and MSCI Europe.

OUR CONTEXT

For a very ambitious agile-at-scale program (Feature Teams organization), we are seeking talented and ambitious professionals to join our team based primarily in Paris and Bucharest as we accelerate our transformative digital and product journey.

We are fully embracing Cloud Native capabilities and best practices and operating as a multi-tribe Product team to better serve our customers (Clients, Merchants and Users) and our Edenred employees. We are leveraging Agility at scale principles and are leading the charge in establishing “FinTech Product” ways of working for Edenred.

We are also embracing data mesh principles. This means that we are empowering our domain teams to own their data products and encouraging a culture of collaboration and innovation across our entire organization. We want to foster a data-driven culture that enables us to unlock the full potential of our data assets and drive business value for our customers. With data mesh, we are transforming the way we work with data and revolutionizing the employee benefits industry.

Our main focus areas to drive value from our Data products :

Product excellence: ensure the product team is equipped with Analytics to monitor UX, usage, adoption & performance of the product, both for Front-end and Process aspects

Business Performance: ensure the Business Units using our platform can access the data from the different domains for their own BI and propose “ready to use” dashboard to help

driving convergence across the Business line for Business performance reporting

Value for our Customers & monetization: leverage a 360 view of our Customers and relevant external data sources - through partnerships when relevant - to bring personalized value to our Customers and differentiate from our competition

Some critical success factors :

Data privacy: protect the data of our customers and fully integrate GDPR regulation principles across our architecture - including consent management and right to be forgotten

Data quality: drive a “quality by design” engineering mindset and establish best in class Data observability

Data democratization : ensure data is available and easily accessible to who need them, with clear definition, usage guidelines and lineage collaboratively maintained in a catalog

Data UX: adopt a persona approach for our Data consumption use cases and promote a superior UX in our visualizations

Our Technology stack for Data :

Azure Data Platform including Event hub and Synapse

Databricks

Data Cataloguing - TBD

PowerBI and PowerApps for visualization

MongoDB/NoSQL for User and Customer domains

Vertabelo for data modelling and “Data as code”

Amplitude for Front-end analytics

Didomi for Consent management

YOU WILL VIBE WITH US

At Edenred, we believe that data is the key to unlocking business value and driving positive change for our customers. As a Data Engineering Leader, you will play a critical role in this mission, leading a team of data engineers to design, build, and maintain our data platform and pipelines using cutting-edge technologies such as Azure Cloud data technology and Databricks.

In this role, you will have a strong focus on technical excellence and innovation, leveraging your deep expertise in data engineering and cloud data architecture to design and implement scalable data solutions that meet the needs of our business and customers.

You will be a driving force for implementing data mesh principles, empowering domain teams to own their data products and creating a culture of collaboration and innovation across the organization. You will collaborate with domain owners, data product managers, and other stakeholders to define the data product architecture and ensure that it aligns with data mesh principles.

Your main responsibilities:

Lead a team of data engineers responsible for designing, building, and maintaining our data platform and pipelines.

Design and implement scalable data solutions that leverage Azure Cloud data technology and Databricks to their full potential, including data ingestion, processing, storage, and consumption.

Collaborate closely with cross-functional teams, including business stakeholders, product managers, and domain owners, to define and execute the data strategy and ensure that our data solutions meet business objectives and customer needs.

Implement data mesh principles and empower domain teams to own their data products, creating a culture of collaboration and innovation across the organization.

Define the data product architecture and ensure that it aligns with data mesh principles, collaborating with domain owners, data product managers, and other stakeholders to develop and execute the architecture roadmap.

Implement best practices for data observability, data quality, data governance, and data security across all data solutions and pipelines.

Develop and maintain documentation and technical specifications for all data solutions and pipelines, ensuring that they are up to date and accessible to all relevant stakeholders.

Stay up to date with the latest trends and technologies in the data engineering field, and apply this knowledge to continuously improve our data solutions and pipelines.

WE WILL VIBE WITH YOU

You could be our next teammate if you have :

Bachelor's degree in Computer Science, Engineering, or a related field.

10+ years of experience in data engineering or architecture roles, with a strong focus on Azure Cloud data technology and Databricks.

Good understanding of data mesh principles and domain designed data products.

Experience leading and managing high-performing data engineering teams, with a focus on developing team members and creating a culture of collaboration and innovation.

Strong technical skills in data ingestion, processing, storage, and consumption, using technologies such as Azure Data Factory, Azure Databricks, SQL Server, NoSQL databases, and Spark.

Strong knowledge of data quality, data governance, and data security best practices, and experience implementing these practices in a production environment.

Strong communication and collaboration skills, with the ability to work closely with cross-functional teams and stakeholders to define and execute the data strategy.

Apply now and Vibe with Us!

Summary

Location: France - Malakoff - Malakoff (Edenred France)

Type: Full time