FULLVENUE is revolutionizing how brands grow through data-driven performance marketing and cutting-edge technology.
We’re looking for a hands-on Data Engineer — someone who loves solving complex data challenges, building scalable systems, and creating the pipelines that power our AI and analytics products. In this role, you’ll architect reliable data infrastructure that connects eCommerce, CRM, and marketing platforms into a unified source of truth — helping global brands make smarter, faster, and more profitable decisions.
About you
- Strong background in Python and SQL.
- Experience with ETL frameworks, data warehouses, data lakes and APIs.
- A builder’s mindset, comfortable with 0→1 setups, not just maintaining pipelines.
- Curiosity for analytics, AI, and data-driven products.
- Operate within cloud environments, ensuring scalability, security, and automation.
- (Bonus) Experience with marketing or customer data.
- (Bonus) Familiarity with machine learning pipelines is a big plus.
- (Bonus) You like to join the team’s weekly sports game — football, padel, or any sport really
What you’ll do
- Architect and build data pipelines that connect eCommerce, CRM, and marketing data into a unified source of truth.
- Set up data ingestion, transformation, and orchestration workflows (think Airflow, dbt, or your own magic).
- Define rules, validation layers, and quality metrics to ensure data reliability.
- Collaborate with Data Scientists and Product Engineers to deploy insights directly into our products.
- Experiment, automate, and help us make our data flow faster, smarter, cleaner.
We offer
- Work at the intersection of AI, data, and performance marketing
- Collaborate with leading sports, entertainment, and retails brands all over the globe
- A growing startup culture with room to shape your role and career
- Hybrid flexibility — based in Lisbon, working 2–3 days a week from our office
- Competitive salary, performance bonuses and growth opportunities
If this sounds good to you, send your cv to careers@fullvenue.ai
