What does a Data Analyst do at LISDATA? Takes part in advanced analytics and business intelligence projects that support our clients’ decisions. Designs and builds dashboards so the data is easy to read, chooses the business KPIs that matter and shapes the story so it communicates. Takes part in designing and building the basic scripts that extract, prepare and store the data the dashboards need, working with database systems and keeping them scalable and fast. Works on task automation and RPA projects. Works with version control tools such as Git. Takes part in code review and makes sure quality standards are met.

What does a Data Engineer do at LISDATA? Works with the rest of the project team to design and build our data solutions. Builds complex platforms to process and store data, working with database systems and keeping them scalable, fast and governed. Designs and builds complete end-to-end ETL systems, both on premise and on cloud systems (Azure). Works with relational and non-relational databases (SQL Server, PostgreSQL, MongoDB) using advanced SQL. Works with version control tools such as Git. Helps build dashboards so the data is easy to read. Takes part in code review and makes sure quality standards are met.

What does a Data Scientist do at LISDATA? Analyses and explores datasets, applying data preparation and machine learning techniques. Builds machine learning and deep learning models with Python, using libraries such as NumPy, Pandas and Matplotlib. Designs and builds agents and applications based on natural language processing, LLMs, RAGs and Transformers. Takes part in advanced analytics and business intelligence projects that support decision making. Helps process data in cloud environments (Azure), including PySpark and Databricks.

What does a Backend Developer do at LISDATA? Works with the rest of the development team to design and build our solutions. Builds applications in Java with Spring Boot or Python with FastAPI, working with database systems and keeping them scalable and fast. Works with version control tools such as Git. Helps build a software architecture based on Docker and Kubernetes. Takes part in designing and building REST APIs that connect different services and applications. Takes part in code review and makes sure quality standards are met. Applies CI/CD knowledge for continuous integration and delivery.

What does a Frontend Developer do at LISDATA? Designs and builds web applications with TypeScript, React and Angular, connected to REST APIs built in Java or Python. Works with the development team to create solutions that scale and perform. Takes part in designing software architectures based on Docker and Kubernetes. Uses version control tools such as Git and joins code reviews. Keeps software quality high through sound development practice and automated tests. Applies CI/CD knowledge for continuous integration and delivery.

What does a Full Stack Developer do at LISDATA? Works with the rest of the development team to design and build our solutions, covering one or more of the following depending on their speciality. Builds web applications with TypeScript and React, talking to the backend through a REST API. Builds backend applications, mainly in Java with Spring Boot or Python with FastAPI, working with SQL and NoSQL databases and keeping them scalable and fast. Takes part in designing and building REST APIs that connect different services and applications. Works with version control tools such as Git. Helps with the work needed to make the models available, using Docker and Kubernetes. Takes part in code review and makes sure quality standards are met. Applies CI/CD knowledge for continuous integration and delivery.

What does an IT Project Manager do at LISDATA? Plans project delivery: resources, scope and timing. Contributes to the design of the technical solution. Follows the initial plan, spots deviations and prepares contingency plans. Keeps a steady conversation with the client and checks progress with the team. Manages the technical progress of the project together with the team. Tracks the project’s profitability and quality standards.

Talent is welcome

Why work at LISDATA?

Working at LISDATA means being where the technology is moving. Innovative projects for leading organisations, the most advanced tools on the market, continuous training and a personalised career plan. Our internal culture always puts people at the centre.

Balance and flexibility

Flexible hours, remote work and intensive hours in summer and at Christmas. We organise the work so it fits each person’s life, and so we can give our best on every project.

Career plan, training and certifications

We define with you where you want to go and turn that into a career plan with training and specific goals. We also invest in the technical certification of our team.

Reference clients and a strong stack

We work for leading organisations, always with the most advanced technology and models on the market. That becomes innovative projects, where strategic decisions show up in the result.

LISDATA culture

The team looks after itself on the project and off it: monthly team buildings, flexible pay, a digital medical service, a free gym in Santander, a coffee corner in our offices and discounts at dozens of shops.

Our values

We are more than 100 people with very different paths, and these four values are the DNA of the LISDATA team.

We stand in your shoes

Close and clear

We listen before we propose. We get into the problem until we understand it as our own, and we explain the technical side in language that helps people decide.

A step forward

Loyal and committed

When something is needed, it gets done. We take on what is ours and also what nobody has asked for yet, because the result of the project belongs to the whole team.

We live in the future

Disruptive and proactive

We keep up with technology that moves fast, and we separate what adds something from what is only noise. We propose before anyone asks us to.

We land ideas

Practical and flexible

We like the hard part: turning an idea into something that works in production. And changing approach when the old one stops being useful.

Data Analyst

What does a Data Analyst do at LISDATA?

Takes part in advanced analytics and business intelligence projects that support our clients’ decisions.
Designs and builds dashboards so the data is easy to read, chooses the business KPIs that matter and shapes the story so it communicates.
Takes part in designing and building the basic scripts that extract, prepare and store the data the dashboards need, working with database systems and keeping them scalable and fast.
Works on task automation and RPA projects.
Works with version control tools such as Git.
Takes part in code review and makes sure quality standards are met.

Data Engineer

What does a Data Engineer do at LISDATA?

Works with the rest of the project team to design and build our data solutions.
Builds complex platforms to process and store data, working with database systems and keeping them scalable, fast and governed.
Designs and builds complete end-to-end ETL systems, both on premise and on cloud systems (Azure).
Works with relational and non-relational databases (SQL Server, PostgreSQL, MongoDB) using advanced SQL.
Works with version control tools such as Git.
Helps build dashboards so the data is easy to read.
Takes part in code review and makes sure quality standards are met.

Data Scientist

What does a Data Scientist do at LISDATA?

Analyses and explores datasets, applying data preparation and machine learning techniques.
Builds machine learning and deep learning models with Python, using libraries such as NumPy, Pandas and Matplotlib.
Designs and builds agents and applications based on natural language processing, LLMs, RAGs and Transformers.
Takes part in advanced analytics and business intelligence projects that support decision making.
Helps process data in cloud environments (Azure), including PySpark and Databricks.

Backend Developer

What does a Backend Developer do at LISDATA?

Works with the rest of the development team to design and build our solutions.
Builds applications in Java with Spring Boot or Python with FastAPI, working with database systems and keeping them scalable and fast.
Works with version control tools such as Git.
Helps build a software architecture based on Docker and Kubernetes.
Takes part in designing and building REST APIs that connect different services and applications.
Takes part in code review and makes sure quality standards are met.
Applies CI/CD knowledge for continuous integration and delivery.

Frontend Developer

What does a Frontend Developer do at LISDATA?

Designs and builds web applications with TypeScript, React and Angular, connected to REST APIs built in Java or Python.
Works with the development team to create solutions that scale and perform.
Takes part in designing software architectures based on Docker and Kubernetes.
Uses version control tools such as Git and joins code reviews.
Keeps software quality high through sound development practice and automated tests.
Applies CI/CD knowledge for continuous integration and delivery.

Full Stack Developer

What does a Full Stack Developer do at LISDATA?

Works with the rest of the development team to design and build our solutions, covering one or more of the following depending on their speciality.
Builds web applications with TypeScript and React, talking to the backend through a REST API.
Builds backend applications, mainly in Java with Spring Boot or Python with FastAPI, working with SQL and NoSQL databases and keeping them scalable and fast.
Takes part in designing and building REST APIs that connect different services and applications.
Works with version control tools such as Git.
Helps with the work needed to make the models available, using Docker and Kubernetes.
Takes part in code review and makes sure quality standards are met.
Applies CI/CD knowledge for continuous integration and delivery.

IT Project Manager

What does an IT Project Manager do at LISDATA?

Plans project delivery: resources, scope and timing.
Contributes to the design of the technical solution.
Follows the initial plan, spots deviations and prepares contingency plans.
Keeps a steady conversation with the client and checks progress with the team.
Manages the technical progress of the project together with the team.
Tracks the project’s profitability and quality standards.

Can’t find your role?

These are the positions that come up again and again, but others appear through the year that are not on this list. Send your application through the Talent form and we will keep it in mind when the moment comes.