sqlsnowflakedata engineeringdata visualizationazureetldbtbusiness intelligencedata marts
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Клиентские проектыАктуальный стекРазвитие и обучениеГибкость графика
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Snowflake & DBT) (Business Intelligence): Designing and developing data engineering solutions, ETL processes, data marts, dashboards, and visualizations for Business Analytics projects with an accent on Snowflake, DBT, Azure, and SQL. Focus on modeling relational and dimensional data marts, processing data, building client-facing analytics solutions, and keeping pace with emerging technology trends.
Location: Lisbon, Portugal; hybrid work
Company
hirify.global delivers data and analytics projects for international companies and IBEX-35 groups, operating in the field since 1994.
What you will do
Analyze, design, and develop data engineering solutions and Business Intelligence projects.
Process data and develop ETL processes.
Create and model relational, dimensional, and table-based Data Marts.
Build and maintain positive relationships with client staff at all levels.
Use BI tools to create data visualizations and dashboards.
Stay current with technological trends in Analytics.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Management, Mathematics, Engineering, Statistics, or another field emphasizing data analysis.
More than 3 years of experience in Analytics, ideally in service or consulting companies.
Experience with data processing tools, particularly DBT, and cloud environments, primarily Snowflake.
Good knowledge of Azure and SQL.
Passion for Analytics and an innovative spirit with a balanced customer, business, and technology orientation.
Commitment, integrity, maturity, teamwork skills, and a strong sense of responsibility.
Fluent English.
Culture & Benefits
Permanent employment contract with a competitive salary based on training and experience.
Customized career development plan, self-directed learning, colleague support, and access to innovation, technology partnerships, and R&D initiatives.
Smartwork with autonomy over working time and regular feedback every six months.
Salary review based on results.
Collaborative, inclusive, and diversity-oriented environment with support from experienced technical and business colleagues.
Hiring process
Three meetings: an initial People First discussion covering professional growth and salary band, a technical session, and a meeting with the future team lead.
The technical stage assesses knowledge and skills in technology environments to match the candidate with a suitable project.
After all stages, People First presents the offer and answers final questions.
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