It seems incredible, but there is a sector without unemployment with the best salaries in Spain. It is the technological area and, within it, there is a specialization that is on the rise: the big data. This industry collects, stores and analyzes the trail of data we generate every second, whether it’s uploading a photo to Instagram or looking for a place to dine. Behind every gesture we make there is a team specialized in big data that is dedicated to studying our preferences, trends and profiles. They are engineers, scientists, programmers or analysts. All the workers in this sector interviewed agree on one statement: the opportunities in the big data abound. “I have never had to write a resume, the offers have come to me by themselves,” says Daniel Castro Chinco, big data engineer. Such is the rise of the industry that the digital transformation agenda of the Government includes as a priority that the percentage of companies that use the big data grow 10 points, up to 25%, over the next five years. Here, a review of some opportunities within the sector.
Big data engineer
Daniel Castro Chinco, 28, is a graduate in Computer Engineering from the University of Seville. He discovered his passion for big data when in his first job as a web designer he was commissioned to do a project with techniques of big data. She decided to specialize in it and did a master’s degree in Data Science and big data, also at the University of Seville. In March 2021 he was hired as an engineering engineer big data in PlexusTecha company of software specialized in consulting and data. Castro is in charge of collecting, processing and ordering all the data that his company handles “so that another department can take it and do what they need with it”, whether it is setting up a marketing or a business analysis, he explains.
According to the young professional, a person in his position must “be curious”, have “analytical capacity” and “be able to find patterns in the data”. In addition, companies are looking for technical and mathematical profiles, like yours. Since he graduated, Castro has never had to look for a job. His offers come to him from the companies themselves, who find his LinkedIn profile and contact him. “There is much more work than people and on top of that with very good conditions,” he summarizes.
data scientist
Inés Rodríguez García, 24, studied biotechnology at the Polytechnic University of Madrid. During her career, they always instilled in her that the only job opportunity she had was to work in a laboratory, but she knew that that would never fulfill her. She discarded that path and did a master’s degree in Bioinformatics applied to health at the National School of Health: “There I realized that in the end what I liked was messing around with numbers, with the computer and programming”, she says. She is now a data scientist at a multinational company specializing in health information technology and clinical research.
His day to day consists of collecting data from hospitals to understand how each patient has been treated from the moment they enter the center until they leave. These data include the age, sex, or diagnosis of each admitted. “With this information, what we want is for the hospital to improve its management. For example, reducing waiting times or reducing mortality, ”she explains. Rodríguez knows that he “didn’t have the right training to work in this world” because data scientists are usually statisticians or engineers. Even so, he has been in this sector for a year and recognizes that more and more specialized profiles are needed in big data “because in the end it is not only that information is generated, but that we are able to store it to later analyze it and use it to make projections,” he says. .
data analyst
Javier Pérez Lafuente studied Law and Business Administration at the University of Zaragoza and started working at Smartme Analytics in 2017, in a position of marketing. Soon after, he became interested in learning more about the data handled by his company. “I realized very quickly that he was very comfortable with issues of big data and that there was a great future in the sector, but I knew that I clearly lacked training because I had not prepared myself for that”, he says. However, he did not want to pay for a master’s degree, so he decided to train on his own. He signed up for online courses, many of them even free.
Today, at the age of 28, he is a data analyst. Her job is to draw conclusions from consumers. She gives an example: “Let’s say there is a client who wants to know how to use Instagram to get people who don’t usually watch TV to do so. I take all the data we get from that application and turn it into information. It is no longer just data, but we understand it and know how to use it to achieve the end we want, ”she explains. Pérez has been in the same company for five years and has not had to look for another position, but he has received a dozen offers. “It gives me a lot of peace of mind to know that there is so much opportunity,” she reflects.
solutions engineer
The position of Ana Manzanares Villarán, 31, has a curious name: Solutions engineer, or solutions engineer in Spanish. “Actually my role is to be the link between the client and my company,” she clarifies. “It is a role that, in addition to being technical, has a lot of exposure to the client: understanding what problems they have and how our technology can help solve them. It is not a role that requires specific studies, but dynamic and flexible people with a commercial vocation are sought”, she summarizes. Since last February, Manzanares has held that position in letter, a company specialized in geolocation and data. She has a degree in Geography from the University of Seville, but she admits that she has always been fascinated by data and she learned programming languages and software on your own.
At Carto, Manzanares carries out all kinds of projects at a national and international level, but especially enjoys those that have to do with sustainability. His job is to first have a meeting with the client to understand what he is looking for. He then conducts proofs of concept, which involves developing a solution for the client based on the relevant data. These solutions are usually mobile or web applications. “From there we present it to the client, we obtain their feedback [respuesta] and we decided on the next steps”, he sums up.
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