Descripción
At Q-tech, we are partnering with a fast-growing tech startup in the Life Sciences space, focused on supply chain compliance. Founded in 2019, this company has quickly become a global reference in the pharmaceutical and healthcare industries, supporting over 1,200 clients worldwide.
Their digital platform connects manufacturers, suppliers, and a global network of over 250 quality experts and auditors. With more than 3,000 audits conducted across 85+ countries, they offer the most comprehensive supplier data and analytics suite in the market. Following a successful Series B funding round in September 2024, the company is now entering a new phase of growth, with a strong focus on the U.S. market.
? What are they looking for?
They are looking for a Data Engineer to join their growing Product & Tech team. You'll work closely with other data engineers and cross-functional teams to develop and maintain a robust cloud-based data infrastructure. Your work will directly support data availability, reliability, and scalability as the company continues to expand globally.
? Key Responsibilities
- Design, build, and scale cloud-based data solutions critical to the company’s long-term strategy.
- Collaborate with different departments to identify data needs and deliver effective, scalable solutions.
- Translate business requirements into solid data architectures together with the Data team.
- Develop and maintain ETL/ELT pipelines from scratch to support a high-performing Data Warehouse.
- Operate and monitor data workflows using Dagster, ensuring stable and error-free execution.
- Set up sanity checks and alerts to catch anomalies early in both pipelines and the data warehouse.
- Continuously enhance data processes and infrastructure.
Requisitos básicos
- Strong SQL skills and experience with cloud-based databases like Redshift and AWS RDS.
- Solid Python knowledge, including packages for analytics, data transformation, APIs, and ML/AI.
- Proven experience building and maintaining ETLs/ELTs, ideally using dbt or similar tools.
- Familiarity with modern data stacks such as Fivetran, Hightouch, DBT, Dagster, and cloud platforms like AWS or GCP.
- Experience with orchestration tools (ideally Dagster).
- Proactive, independent, and passionate about solving complex problems with simple and scalable solutions.
- Ability to take full ownership of projects from ideation to delivery.
- Strong communication skills and experience working cross-functionally in fast-paced environments.
? Nice to Have
- Experience with RAG architectures (vector databases, LLMs, data curation workflows).
Requisitos deseados
- Be part of a company redefining supplier qualification in pharma through data.
- Work in a diverse, collaborative, and open culture with flat hierarchies and strong team spirit.
- A steep learning curve supported by strong career development and mentoring from day one.
- 25 vacation days, increasing to 27 after 2 years and 30 after 4 years.
- Flexible working hours and the option to work from abroad up to 3 months per year.
- Private health insurance with Assistència Sanitària (with family coverage available).
- Wellhub membership for health and wellbeing.
- Flexible benefits plan (restaurant/transportation/nursery vouchers).
- All necessary work equipment provided (laptop, headset, etc.).
- Two company events per year to celebrate team achievements.
- 1:1 coaching and mentoring to support your professional growth.