{"id":166653,"date":"2023-02-13T12:28:26","date_gmt":"2023-02-13T11:28:26","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166653"},"modified":"2024-11-21T12:10:20","modified_gmt":"2024-11-21T11:10:20","slug":"data-engineer-vs-data-scientist-what-are-the-differences","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-engineer-vs-data-scientist-what-are-the-differences","title":{"rendered":"Data Engineer vs. Data Scientist: What\u2019s the Difference and Which Career is Right for You?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166653\" class=\"elementor elementor-166653\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0e366ac e-flex e-con-boxed e-con\" data-id=\"0e366ac\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c0e5356 elementor-widget elementor-widget-text-editor\" data-id=\"c0e5356\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>In the era of Big Data, new professions are emerging. Among the most common: The data engineer and the data scientist. So what are the differences between the two? And the similarities? Discover the answers.<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-156c4b6 e-flex e-con-boxed e-con\" data-id=\"156c4b6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0b1dcda elementor-widget elementor-widget-heading\" data-id=\"0b1dcda\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What are the missions and skills of a Data Engineer?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd04484 elementor-widget elementor-widget-text-editor\" data-id=\"cd04484\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The data engineer is the <\/span><b>creator of the data architecture<\/b><span style=\"font-weight: 400;\">. Indeed, he develops, tests, and implements the roadmap. Both at the level of the database, but also of the data flows (from collection to storage). <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9780296 elementor-widget elementor-widget-heading\" data-id=\"9780296\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">The missions\n<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d14778 elementor-widget elementor-widget-text-editor\" data-id=\"1d14778\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The first mission of the&nbsp;<\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/data-engineer-role-skills-salary\"><b>Data engineer<\/b><\/a><\/span><span style=\"font-weight: 400;\"> is to design and develop a reliable big data architecture (at the database and process levels).&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To do this, he must :&nbsp;<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensure that the architecture implemented meets the<\/span><b> business objectives<\/b><span style=\"font-weight: 400;\"> of his organization.&nbsp;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Discover new data acquisition opportunities<\/b><span style=\"font-weight: 400;\">. By multiplying data sources, the decision-making process is more reliable.&nbsp;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improve data efficiency, reliability, and quality. It is confronted with raw data that is sometimes false, obsolete, or badly formatted. His role is then to<\/span><b> track down all the dysfunctions<\/b><span style=\"font-weight: 400;\">.&nbsp;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Develop processes for data modeling, data mining, and production.<\/span><\/li>\n<\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a15a67 elementor-widget elementor-widget-heading\" data-id=\"1a15a67\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">The skills<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-026f1e2 elementor-widget elementor-widget-text-editor\" data-id=\"026f1e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In order to accomplish these missions, the data engineer must <\/span><b>master numerous IT tools<\/b><span style=\"font-weight: 400;\">. This allows him to create a homogeneous environment, despite the presence of heterogeneous formats, objects, and sources.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is precisely this work that<\/span><b> facilitates data analysis<\/b><span style=\"font-weight: 400;\"> by the Data Scientist.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae9cb44 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"ae9cb44\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"575\" height=\"395\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/data-engineer.jpg\" class=\"attachment-large size-large wp-image-166656\" alt=\"Data engineer\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/data-engineer.jpg 575w, https:\/\/datascientest.com\/en\/files\/2023\/02\/data-engineer-300x206.jpg 300w\" sizes=\"(max-width: 575px) 100vw, 575px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5726795 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"5726795\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become a Data Engineer<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3cfcbf elementor-widget elementor-widget-spacer\" data-id=\"c3cfcbf\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-92dae9e e-flex e-con-boxed e-con\" data-id=\"92dae9e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-49af40f elementor-widget elementor-widget-heading\" data-id=\"49af40f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the missions and skills of a Data Scientist?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ac9030 elementor-widget elementor-widget-text-editor\" data-id=\"5ac9030\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/datascientest.com\/en\/average-data-scientist-salary-in-canada-in-2023\" target=\"_blank\" rel=\"noopener\"><u><b>Data scientist<\/b><\/u><\/a><span style=\"font-weight: 400;\">\u00a0is the data expert. He exploits and analyses them to help make decisions.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e4a632 elementor-widget elementor-widget-heading\" data-id=\"1e4a632\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">The missions\n<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1bb166d elementor-widget elementor-widget-text-editor\" data-id=\"1bb166d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The mission of the data scientist is to <\/span><b>explore data<\/b><span style=\"font-weight: 400;\"> and make it talk. To do this, they have to study large volumes of data from internal or external sources to answer business problems.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">He can directly <\/span><b>use data to draw conclusions<\/b><span style=\"font-weight: 400;\"> or perform predictive analysis and identify hidden patterns. In this sense, it is also important to distinguish between data scientists and data analysts. Indeed, data analytics <\/span><b>only analyzes existing data<\/b><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The work of the data scientist does not stop there, since he must also <\/span><b>communicate his findings<\/b><span style=\"font-weight: 400;\"> to the management bodies and\/or managers.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The objective is to <strong>transform data into real decision-making tools<\/strong>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-570abe1 elementor-widget elementor-widget-heading\" data-id=\"570abe1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">The skills<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ae0e76 elementor-widget elementor-widget-text-editor\" data-id=\"8ae0e76\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In order to make data speak, the Data Scientist must use several innovative technologies, such as machine learning, advanced analysis programs, data visualization, or statistics.<\/span><\/p><p><span style=\"font-weight: 400;\">But beyond<\/span><b> technical skills<\/b><span style=\"font-weight: 400;\">, he must above all have several soft skills.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">On the one hand, he must have an <\/span><b>increased knowledge of the company<\/b><span style=\"font-weight: 400;\">, the sector of activity, the specificities of the business, and the market in which he operates. This mastery of the environment is <\/span><b>more than essential <\/b><span style=\"font-weight: 400;\">for the decision-making chain. And for good reason, the data he seeks to extract and analyse must be specific to the company in order to enable it to gain a <\/span><b>competitive advantage<\/b><span style=\"font-weight: 400;\"> (whether in terms of organization, new product development, sales, customer knowledge, etc.).\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">On the other hand, he must have <\/span><b>communication skills<\/b><span style=\"font-weight: 400;\">, since he transmits his conclusions to managers. These conclusions must be communicated in a <\/span><b>clear and precise way <\/b><span style=\"font-weight: 400;\">in order to facilitate understanding, and therefore, the taking of good decisions.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6c5580 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"a6c5580\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become a Data Scientist<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e89be1 elementor-widget elementor-widget-spacer\" data-id=\"5e89be1\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8fe04df elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"8fe04df\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"518\" height=\"355\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/data-scientist.jpg\" class=\"attachment-large size-large wp-image-166655\" alt=\"data-scientist\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/02\/data-scientist.jpg 518w, https:\/\/datascientest.com\/en\/files\/2023\/02\/data-scientist-300x206.jpg 300w\" sizes=\"(max-width: 518px) 100vw, 518px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b3d5c9 elementor-widget elementor-widget-spacer\" data-id=\"5b3d5c9\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-665cb1d e-flex e-con-boxed e-con\" data-id=\"665cb1d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-634758c elementor-widget elementor-widget-heading\" data-id=\"634758c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What do a data engineer and a data scientist have in common?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c331dd8 elementor-widget elementor-widget-text-editor\" data-id=\"c331dd8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data engineers and data scientists are <\/span><b>above all data experts<\/b><span style=\"font-weight: 400;\">. As such, both professionals have a solid foundation in computer science. It is therefore possible that they have followed the<\/span><b> same training<\/b><span style=\"font-weight: 400;\"> (in an engineering school or a computer science school). That said, to excel in their field of expertise, we recommend that you take <\/span><b>specialized training<\/b><span style=\"font-weight: 400;\"> in data engineering or data science.\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a76b2e elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"4a76b2e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover DataScientest\u2019s training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d562a7 elementor-widget elementor-widget-text-editor\" data-id=\"0d562a7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">As far as salaries are concerned, data engineers and data scientists are paid approximately the same (between <\/span><b>120 K \u20ac and 135 K \u20ac per year<\/b><span style=\"font-weight: 400;\">). However, data scientists generally have a slightly higher salary. This is due to the fact that there are more job offers in this field.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the same way, the future prospects are very positive for both professions. And, companies are more and more concerned about <\/span><b>data management issues<\/b><span style=\"font-weight: 400;\">. And this is not about to stop.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Finally, Data Engineers and data scientists must master advanced technologies to do their job. However, they do <strong>not all use the same tools<\/strong>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2f068c elementor-widget elementor-widget-spacer\" data-id=\"c2f068c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-334a324 e-flex e-con-boxed e-con\" data-id=\"334a324\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8f0c67 elementor-widget elementor-widget-heading\" data-id=\"d8f0c67\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is the difference between a data engineer and a data scientist?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-388b9ba elementor-widget elementor-widget-text-editor\" data-id=\"388b9ba\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">If a data engineer and a data scientist are two similar professions, they have several differences. Here are the main ones:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The tools<\/b><span style=\"font-weight: 400;\">: as seen previously, <br>Data Engineers and Data Scientists master the most innovative technologies. Some are similar (like Scala, Java, C#), but others are quite different. Indeed, the data scientist mainly uses programming languages (such as SPSS, <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\">Python, R<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, SAS), statistics, Excel, and <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">Machine Learning<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> to perform predictive analysis. On the other hand, the data engineer makes extensive use of tools such as SAP, Oracle, Cassandra, MySQL, Redis, Riak, neo4j, Hive, Sqoop, or PostgreSQL to model the data and build reliable architectures.<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The mission<\/b><span style=\"font-weight: 400;\">: this is the main difference between the two. The Data Engineer&#8217;s objective is to create a reliable data architecture, while the Data Scientist interprets this data.<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The vision<\/b><span style=\"font-weight: 400;\">: the Data Engineer is focused on the data. As such, they have much more <\/span><b>developed technical skills<\/b><span style=\"font-weight: 400;\">. On the other hand, the data scientist often has a more refined business vision.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Despite these differences, it is important to remember that Data Engineer and Data Scientist are two <strong>perfectly complementary jobs<\/strong>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Indeed, the data engineer must create an architecture with <\/span><b>quality data<\/b><span style=\"font-weight: 400;\">. This then allows the Data Scientist to exploit the data. He could not do his job without the presence of the first.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be0e2c1 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"be0e2c1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Start a training course in Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8861ae5 e-flex e-con-boxed e-con\" data-id=\"8861ae5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2914487 elementor-widget elementor-widget-html\" data-id=\"2914487\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the missions and skills of a Data Engineer?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"The data engineer is the creator of the data architecture. 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[&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":166657,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[1417],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Engineer vs. Data Scientist: What\u2019s the Difference and Which Career is Right for You?<\/title>\n<meta name=\"description\" content=\"In the era of Big Data, new professions are emerging. Among the most common: The data engineer and the data scientist. So what are the differences between the two? And the similarities? 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