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Senior data engineer

Qualifyze
Publicada el Publicado hace 5 hr horas
Descripción

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Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,200 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.

With a track record of over 3,000 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.

After securing a series-B funding in September 2024, Qualifyze is now focused on expanding to the US market.


Role Overview :

We are looking for a Data Engineer to join our growing Product & Tech team. In this role, you will collaborate closely with fellow data engineers and cross-functional teams to build and maintain a solid data infrastructure that powers insights across the company. You'll play a key role in improving our data reliability, structure, and availability, helping us scale effectively as we expand our global presence.


Main responsibilities :

* Build, scale, and maintain cloud-based robust data solutions, crucial for our long-term strategy and operational success.
* Collaborate with other departments to identify key data needs and translate them into effective and scalable solutions.
* Understand the data needs of the company and plan with other data engineers & scientists on translating these needs into solid data solutions.
* Write ETLs / ELTs from scratch to build an effective Data Warehouse.
* Maintain pipelines with Dagster to ensure smooth daily / weekly executions.
* Establish sanity checks to catch data anomalies early.
* Continuously improve our data processes and infrastructure.


Main requirements :

* Strong SQL skills and experience with cloud-based databases: Redshift and AWS RDS.
* Strong Python skills and related packages for data analytics, transformations, APIs, and AI/ML.
* Proven ability to build and maintain ETLs / ELTs, ideally using dbt or similar frameworks.
* Familiarity with modern data stacks: Fivetran, Hightouch, DBT, Dagster, and cloud services.
* Experience with cloud environments such as AWS or GCP.
* Experience with modern orchestration tools like Dagster.
* A proactive, self-driven mindset with a passion for solving complex problems with simple, scalable solutions.
* Ability to manage projects independently and take ownership.
* Leadership potential and diplomatic conflict resolution skills.
* Strong communication skills for internal stakeholder interactions.
* Comfort working cross-functionally in a fast-paced, evolving environment.
* Nice-to-have: experience with RAG solutions, vector databases, LLMs, and data curation flows.


What you can expect from us?

* Be part of a startup redefining pharma supplier qualification through data.
* Dynamic team valuing reliability, customer focus, creativity, pragmatism, and open communication.
* Innovative, fast-growing company with a positive intercultural and diversity culture.
* International environment with flat hierarchies, great spirit, and open feedback culture.
* Steep learning curve with excellent professional development opportunities. Responsibility from the start! People empowerment, problem-solving, simplifying complexity, and building a better tomorrow.


What do we offer?

* Flexible schedules throughout the year.
* 25 days of holidays, upgradable to 27 after 2 years, and 30 after 4 years.
* Health insurance with Assistència Sanitària, with family options.
* Work from abroad for up to 3 months per year.
* Necessary work equipment provided.
* Two official company events per year.
* Individual coaching and mentoring on your development roadmap.

At Qualifyze, we actively support diversity and foster an inclusive environment where everyone feels valued and heard.

We are an equal opportunity employer and welcome applications from all backgrounds.


Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Software Development


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