Devoteam
Technology
DistributedCloud|AnalyticsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“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.
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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