Senior Data Engineer

Zartis; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading digital solutions provider is seeking a Senior Data Engineer to work remotely in the simulation-based training industry. You will be responsible for designing and maintaining scalable data infrastructure while collaborating with a diverse team of professionals. The ideal candidate has over 5 years of experience in data engineering, a strong proficiency in Python and SQL, and familiarity with Azure services and container orchestration tools. This position emphasizes innovation and includes opportunities for career growth and continuous learning.

Servicios

100% Remote Work

WFH allowance

Career Growth program

Tech training opportunities

Mentoring program

Wellbeing hub

Multicultural working environment

Formación

• 5+ years of experience delivering data engineering solutions.
• Strong experience with SQL and NoSQL databases.
• Hands-on experience with containers and cloud services.

Responsabilidades

• Architect, build, and maintain scalable data pipelines.
• Implement ETL workflows and ensure data quality.
• Design and optimize data models for efficient data retrieval.

Conocimientos

Python programming

SQL and NoSQL databases

Data architecture

Data pipeline development

ETL/ELT workflows

Cloud services (Azure)

Containerization (Docker, Kubernetes)

Data governance

Analytical skills

Herramientas

Docker

Kubernetes

Apache Airflow

MLflow

Descripción del empleo

The company and our mission:

Zartis is a digital solutions provider working across technology strategy, software engineering and product development.

We partner with firms across financial services, medtech, media, logistics technology, renewable energy, edtech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.

Senior Data Engineer (simulation‑based training industry)

We are looking for a Senior Data Engineer to work on a project in the simulation‑based training industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will join a distributed team developing new technologies to solve real business problems. Your work will shape the client’s ability to more efficiently support critical decision‑making processes for their customers. You will play a key role in building, maintaining, and optimizing the data infrastructure that underpins the core of the client’s product.

In this role, you will take ownership of designing robust data ingestion, ETL, and data processing workflows. You will bring a strong foundation in data architecture, data engineering best practices, and hands‑on engineering experience to translate complex logic into production‑grade, scalable solutions.

We are looking for someone deeply curious, autonomous, and methodical—an engineer who consistently seeks to improve through research, experimentation, and knowledge sharing.

What you will do:

• Architect, build, and maintain scalable and reliable data pipelines to collect, process, and transform large datasets.
• Translate analytical or data science logic into production‑ready, robust engineering solutions.
• Design and optimize data models, storage solutions, and database structures for efficient data retrieval, analysis, and processing.
• Implement ETL/ELT workflows and ensure best practices in data modeling, data quality, and data lifecycle management.
• Work with containers and cloud‑native tools (Docker, Kubernetes) to deploy and manage data workflows.
• Leverage Azure cloud services to build and maintain modern data infrastructure.
• Ensure data governance, security, and compliance across all layers of the data ecosystem.
• Evaluate and integrate external data sources, services, and vendor tooling when needed.
• Stay up to date with emerging trends in data engineering, workflow orchestration, and MLOps‑adjacent tooling (e.g., Airflow, Dagster, MLflow, HEAT).

What you will bring:

• 5+ years of experience delivering data engineering solutions in a collaborative, production‑focused environment.
• Proficiency in Python, with the ability to translate analytical logic into maintainable, high‑quality code.
• Strong experience with SQL and NoSQL databases, including data modeling and optimization.
• Hands‑on experience with containers, including Docker and Kubernetes.
• Familiarity with Azure cloud services and cloud‑based data architecture.
• Experience designing and implementing ETL/ELT workflows, data pipelines, and distributed data processing solutions.
• Experience with workflow orchestration tools such as Apache Airflow, Dagster, or ML tooling such as MLflow.
• Excellent analytical and problem‑solving skills, with the ability to work autonomously and deliver results.
• Ability to collaborate with cross‑functional teams and communicate complex concepts clearly.

Nice to have:

• Experience with HEAT or similar data engineering/MLOps platforms.
• Previous exposure to simulation, analytics, healthcare, insurance, or fintech industries.
• Experience working in early‑stage or fast‑moving environments where processes evolve rapidly.

What we offer:

• 100% Remote Work.
• WFH allowance: Monthly payment as financial support for remote working.
• Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.
• Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative, for example), English classes, books, conferences, and events.
• Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
• Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
• Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team‑building games and contests.