Senior Data Engineer

In a few words

Position:

Senior Data Engineer – AI Labs at Insud Pharma Location:

Madrid (hybrid) Experience:

5+ years in Data Engineering or Analytics Engineering roles

About AI Labs at Insud Pharma

AI Labs is Insud Pharma’s transversal team for

Artificial Intelligence, Data Science, and Machine Learning , working across the group to deliver production‑ready data and AI solutions with real impact. The team operates across a wide range of areas, including

R&D; and clinical data, global health and epidemiology, manufacturing and quality, supply chain and operations, and business analytics , partnering closely with business units, and external organizations. AI Labs combines strong engineering standards with pragmatic execution, focusing on building scalable AI‑enabled solutions that move from experimentation to real‑world adoption.

Role Context

This role will be

primarily focused on projects linked to Fundación Mundo Sano , an international organization dedicated to improving health and quality of life for vulnerable communities through research, innovation, and international cooperation (e.g. neglected diseases such as Chagas). The goal of this position is to ensure that data coming from multiple sources becomes

available, consistent, reliable, and reusable , enabling dashboards, reporting, and AI/ML use cases. Due to the international nature of the projects, the role may involve

occasional travel to Latin America, Africa, or other regions

to work closely with local teams and better understand data generation on the ground.

Role Objective

Build and operate a

coherent, well‑structured data foundation

for Fundación Mundo Sano projects by owning the

data engineering layer end‑to‑end : ingestion, modeling, data quality, availability, monitoring, and data delivery for dashboards and AI enablement.

Key Responsibilities

Build and operate

data ingestion pipelines (ETL/ELT)

from multiple sources (field programs,



research datasets, epidemiological surveillance systems, partners, files, APIs). Design and maintain

data models and curated datasets

that standardize entities, metrics, and definitions across projects. Ensure

data quality, reliability, and consistency

through automated checks, monitoring, and basic observability. Decide how data is

structured, stored, and versioned

to enable long‑term reuse and scalability. Make data

available and easy to consume

for dashboards, reporting, and AI/ML use cases. Proactively guide business and project teams on data best practices , setting standards, shaping requirements, and influencing how data should be collected, structured, and used. Collaborate closely with stakeholders to translate needs into

scalable, maintainable data foundations .

Technologies (examples – adapt to actual stack)

Languages:

SQL, Python Pipelines / orchestration:

Airflow, Prefect, Dagster or similar Transformations:

dbt or equivalent Storage:

Data warehouse / lakehouse (e.g. Snowflake, BigQuery, Databricks, Synapse) Data quality / monitoring:

Great Expectations, Soda, or similar BI / Dashboards:

Power BI, Tableau, Looker or similar Engineering basics:

Git, CI/CD, basic cloud concepts (AWS / Azure / GCP)

What we are looking for

A senior, hands‑on

Data Engineer

with a strong ownership mindset, comfortable building and operating

core data structures and pipelines . 5+ years of experience in

Data Engineering or Analytics Engineering

roles. Strong

SQL

and solid

Python , with hands‑on experience building and running





ETL/ELT pipelines

in production. Proven experience integrating

heterogeneous and diverse data sources

(multiple systems, files, APIs, changing schemas, inconsistent identifiers). Good understanding of

data modeling

and analytical data structures, with the ability to standardize entities, metrics, and definitions across projects. Experience ensuring

data quality, reliability, and monitoring , including automated checks and basic observability. Comfortable making data

available for dashboards, reporting, and AI/ML use cases

through curated, analytics‑ready datasets. Able to work proactively with business and project teams,

shaping requirements and setting data standards

rather than waiting for fully specified inputs. Spanish

as the daily working language;

English

required for specific projects and international collaboration. Pragmatic, ownership‑driven mindset, strong communication skills, and motivation to work on

social and public‑health impact projects .

Our benefits!

⏰ Adaptable start time from Monday to Friday Permanent contract. Life and accident insurance. ️ Ticket restaurant Training and language learning platform ♀️ Wellness platform with unlimited free psychologist sessions Cabify transportation service for employee use Development plans, internal mobility policy. ⭐ Many more!

COMMITMENT TO EQUAL OPPORTUNITIES

The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

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