At Dolead, we align marketing, sales, and data to turn media investment into real pipeline. In short: we launch paid campaigns faster, integrate data with confidence, and deliver sales-ready leads at a fixed cost.

We already support 200 clients across 15 countries with a team of 70+ experts from 13 nationalities, split between our offices in Paris, Boston… and we keep growing !
In Paris, we work in a hybrid model (2 days/week in the office) to combine the best of both worlds: flexibility and collaboration. Our obsession: making performance marketing measurable, every single week, for our clients.

To support our growth, we’re looking for a Data Engineer to join our dynamic Paris office.
You will play a key role in the Data team, working closely with the Head of Data & Science.

Your missions:

• Master our data → get a deep understanding of Dolead’s data flows and architecture.

• Collaborate across the team → work side by side with Data Scientists and Data Analysts.

• Optimize pipelines → improve and maintain our Python & SQL pipelines (Airbyte, DBT).

• Support analytics → contribute to our Looker stack (LookML).

• Build products → work with other teams to deliver data-driven features and tools.

What we offer:

🤗 Healthcare: Alan - 100% coverage by Dolead

💳 Lunch Voucher: Swile lunchcard - 9€/day - 50% coverage by Dolead

🌴 Holidays: 25 vacation days & 8 RTT

💻 Flexible remote policy: up to 2-4 days/week (depending on the team organization)

🌍 Multiculturual environment: +13 nationalities represented

🥳 Strong company culture, monthly team & company events!

📍 Offices: Located in the center of Paris (near Opéra)

Dolead wants to guarantee equality and an opportunity to all candidates. Therefore, all applications received are considered regardless of racial and ethnic origin, opinions or beliefs, gender, sexual orientation, health or disability.

We’re looking for someone with a strong Data Engineering mindset — curious about data end-to-end, from pipelines to visualization, but more focused on serving internal tech and product teams than on client-facing delivery.

• At least 2 years of experience in Data Engineering or a similar role.

• Solid skills in Python & SQL; experience with tools like Airbyte, DBT, and Looker/LookML is a plus.

• Used to collaborating with Data Scientists, Analysts, and Developers to deliver reliable data products.

• Comfortable working in a cloud environment; certifications are a bonus.

• Fluent in French and English.

• Appreciates a culture where data drives decisions, collaboration comes first, and big ideas are tested through proof of concept before scaling.

Read more about Dolead technical stack on https://stackshare.io/dolead/engineering

🚨 No need to check all the boxes. If you think you are the right person for this job but you have doubts, please apply and we can discuss.

• Screening call with Florian, Talent Acquisition Manager 

• Interview with the hiring manager Thibault 

• Use case with Thibault, Head of R&D & Data 

• Final interview with Guillaume, CEO