Devoteam

Technology

DistributedCloud|AnalyticsEngineer

€45–65k ~AI est. Porto, Porto, Portugal FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Distributed Cloud | Analytics Engineer at Devoteam. Skills: Analytics Engineering, Data Engineering, Business Intelligence, Data Modeling, ETL/ELT. Design scalable data models. Develop scalable data models”

Industry & Context.

Technology
Problems you'll solve

Analytical skills; Problem-solving skills

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field, 3+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or related data-focused roles, Proficiency in SQL, Proficiency in data modeling concepts, Experience designing and implementing ETL/ELT pipelines, Experience with data transformation workflows, Experience working with cloud-based data platforms (AWS, Microsoft Azure, or Google Cloud Platform), Experience using version control systems such as Git

Nice to Have

Dimensional modeling techniques experience, Familiarity with modern data warehousing architectures, Familiarity with analytical ecosystems

What You'll Do.

Design scalable data models

Develop scalable data models

Maintain scalable data models

Translate business requirements into data solutions

Build ETL/ELT pipelines

Optimize ETL/ELT pipelines

Maintain ETL/ELT pipelines

Transform raw data into analytical datasets

Develop data warehouse solutions

Develop data lake solutions

Maintain data warehouse solutions

Maintain data lake solutions

Implement dimensional data models

Implement semantic data models

Ensure data consistency

Ensure data governance

Collaborate with Data Engineers

Collaborate with Data Scientists

Collaborate with Business Analysts

Collaborate with Product teams

Optimize data transformations

Optimize reporting layers

Support analytical solution development

Support dashboard development

Support KPI development

Support business metric development

Contribute to data best practices adoption

Contribute to data standards adoption

Contribute to data governance frameworks adoption

Create technical documentation

Maintain technical documentation

Create data lineage documentation

Maintain data lineage documentation

Create knowledge-sharing materials

Maintain knowledge-sharing materials

Participate in code reviews

Participate in version control processes

Participate in continuous improvement initiatives

How You'll Work.

Team & Collaboration

Business stakeholders; Technical teams; Data Engineers; Data Scientists; Business Analysts; Product teams

Communication Scope

Technical documentation; Knowledge-sharing

Full Job Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. * Design, develop, and maintain scalable data models that support business intelligence, analytics, and reporting needs. * Bridge the gap between business stakeholders and technical teams by translating business requirements into reliable and actionable data solutions. * Build, optimize, and maintain ETL/ELT pipelines to transform raw data into trusted analytical datasets. * Develop and maintain data warehouse and data lake solutions across cloud environments (AWS, Azure, or Google Cloud Platform). * Implement dimensional and semantic data models to enable self-service analytics and improve data accessibility. * Ensure data quality, consistency, and governance through testing, validation, monitoring, and documentation practices. * Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams to deliver high-quality data products. * Optimize SQL queries, data transformations, and report

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