Data Engineering Tech Lead B2B (H/F)

Take a step forward and let Edenred surprise you.

Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.

We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.

Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.

Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.

We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.

YOUR ROLE

In close collaboration with B2B product squads, platform engineering, integration teams, and SRE, the Data & AI Assets Engineering Lead – B2B acts as the technical and engineering owner of reusable B2B Data, AI, and Agentic assets.

As a player-coach, the role is both hands-on and structurally accountable: it designs, builds, and runs production-grade B2B assets (Gold datasets, features, agents, knowledge packs), while coaching teams to engineer for reuse, quality, and operability by default across business lines and geographies.

Responsibilities

Own B2B Data & AI assets end-to-end (design → build → run → evolve)

Define and maintain B2B Gold models, features, agent inputs, and knowledge assets

Ensure assets align with canonical models, metadata standards, and promotion rules

Build assets with production-grade guarantees (SLAs, observability, cost )

Actively contribute hands-on to complex modeling, pipelines, and AI logic

Ensure reuse across B2B use cases, preventing duplication and fragmentation

Coach engineers and squads on asset-first, reuse-by-design practices

Partner with SRE to embed operability, reliability, and cost control into assets

Coordinate with Integration COE on data contracts and source quality

Support fast-track experiments & ensure clean promotion to certified assets

Act as a standing contributor to the Design Authority

YOUR PROFILE

Technical & Engineering

Credible experience with B2B/CRM related use cases – ideally Sales & Marketing related

Strong background in data modeling and analytics engineering

Solid exposure to AI / GenAI concepts (features, RAG, agent consumption)

Experience designing shared, reusable data assets at scale

Comfortable with modern data stacks (Databricks, SQL, pipelines)

Production mindset: quality, lineage, observability, cost awareness

Experience with Agentforce/Data360 would be a plus

Player-Coach Mindset

Hands-on contributor on critical assets and complex problems

Coaches teams through patterns, reviews, and examples

Raises engineering and modeling standards through practice, not control

Collaboration & Influence

Able to influence product squads without owning their backlog

Clear communicator with product, data, and platform stakeholders

Pragmatic, domain-aware, and reuse-oriented

Comfortable arbitrating trade-offs between speed and standardisation

Apply now and Vibe with Us!