Data Engineer
-
Location
Spain
-
Remote
100%
- Great team environment
- Intensive summer schedule
- Shorter working hours on Fridays
Join Sngular’s Data team to become part of the community and contribute your expertise as a Data Engineer with one of our retail-sector clients.
Your responsibility goes beyond analyzing or modeling data: you will also design, develop, and bring complete solutions into production, connecting data, applications, APIs, and even generative AI models.
If you’re motivated by rapid prototyping, building functional solutions, and seeing your work actually used in real life, this challenge is for you.
Responsibilities
-
Design, develop, and optimize data pipelines in Snowflake, including data cleansing, transformation, and advanced modeling.
-
Create and maintain data APIs and services (CRUD) to connect internal systems and applications.
-
Develop solutions to automate workflows and tasks, using orchestration tools.
-
Build interfaces, dashboards, and interactive applications for data visualization and decision support (Retool, Streamlit, or lightweight web frameworks).
-
Collaborate closely with Product and Business teams, translating needs into tangible, impact-driven solutions.
-
Participate in defining data and application architecture, ensuring scalability, performance, and maintainability.
-
Experiment with analytical models and generative AI integrations (LLMs) to extract value from data and automate processes.
How will you do it?
Required
- 3–5 years of experience as a Data Engineer
- Previous experience with Python
- Experience in cloud data environments, preferably Snowflake
- Proficiency in advanced SQL, query optimization, and data modeling
- Experience in data manipulation, automation, and API development
- Knowledge of CI/CD and best deployment practices in data and application environments
- Ability to create data visualization interfaces and connect tools with databases or APIs
- Maker mindset: autonomy to ideate, prototype, and deliver functional solutions
- Strong communication and collaboration skills in multidisciplinary teams
Preferred
- Experience designing scalable and secure data architectures
- Knowledge of LangChain, OpenAI API, LlamaIndex, or other tools for building agents or AI-driven automations
- Understanding of DataOps/DevOps for automating the data lifecycle
- Experience connecting LLMs to databases or internal systems to enable intelligent workflows
- Product-oriented mindset: ability to balance technical excellence with fast value delivery, especially in AI-related projects
-
Working day
Full time
-
Location
Spain
-
Remote
100%
-
Vacations
22 Days
Technologies and Skills
Mandatory
-
Python
Advanced -
Snowflake
Advanced -
SQL
Advanced -
CI/CD
Intermediate -
Azure
Intermediate -
Git
Intermediate -
Integración de APIs
Intermediate
Ideal
-
LLM Frameworks & Agents / RAG Systems (LangChain, LangGraph)
Intermediate -
APIS (OpenAPI, AsyncAPI)
Intermediate -
low-code/no-code
Intermediate
Skills
-
Team player
-
Proactivity
-
Good communication skills
-
Decision making
-
Ability to work in team in diverse
-
Sensitivity to data
-
Effective Communication
Benefits
Budget for training
Welcome pack
Wellbeing pack
Flexible compensation
2 days for technical events
December 24th and 31st
Celebrate Your Birthday: Day Off
Technical Events and courses
Remote Work Assistance
Internal training
Free unlimited access to UDEMY
Option to choose your team (Windows/Mac)
Career plan
Additional bonuses: recommendations, being a speaker and writing technical articles.
Access to continuous training
Inspire us with your talent!
If you are interested in developing your career in our teams, send your CV and join us to face the exciting challenges that await us.