Data Engineer (m/f/d)

Xgeeks; Lisboa; Presencial; EUR 42 000 - 68 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-friendly culture

Flexible benefits

Great equipment

Resumo da oferta

synvert, a GlobalLogic company, is building data-driven AI solutions with a global team across Portugal, including offices in Lisbon, Leiria and Viseu. The Data Engineer will shape data pipelines and warehouses to enable insights for internal and external clients.

You will collaborate with cloud, data and product experts to translate needs into scalable data architectures, leveraging modern tools and best practices in a dynamic environment.

Qualificações

• 2+ years of experience in Data Engineer, DWH developer, BI Engineer, or related roles.
• Basic understanding of cloud infrastructure.
• Strong SQL skills and data modelling experience (e.g., Star/Snowflake).
• Experience with Python for data manipulation and automation.
• Fluent in English with strong communication skills.

Responsabilidades

• Collaborate with an international team of engineers to design and implement data-driven solutions from concept to deployment.
• Translate business needs and technical requirements into scalable data warehouse solutions.
• Communicate technical decisions clearly to team members and stakeholders.
• Lead code reviews and propose improvements to existing processes.
• Contribute to end-to-end development of data pipelines and warehouse architectures.
• Embrace learning and experimentation to improve results.

Conhecimentos

SQL

Python

Data modelling

Cloud infrastructure

English communication

DWH experience

Descrição da oferta de emprego

About synvert, a GlobalLogic company

synvert, a GlobalLogic company, is a leading cloud, data, and AI services company, partnering with enterprises to design, implement, and manage end-to-end data and AI solutions that drive measurable business impact, combining deep technical expertise with strong industry knowledge across different sectors.

As part of synvert in Portugal, you’ll join a team of experts pushing the boundaries of AI, Data, Product and Platform Engineering, working alongside an international, multidisciplinary team from our offices in Leiria, Lisbon, and Viseu.

Your Tasks

As a Data Engineer, you will be a key part of the team, enabling and facilitating a data-driven culture for internal and external clients and using advanced data pipelines to generate insights on where to go.

• Collaborate with a talented international team of engineers, architects, and cloud experts to design and implement data-driven solutions from concept to deployment.
• Translate business needs, user stories, and technical requirements into scalable and efficient data warehouse solutions.
• Communicate your technical decisions to team members and stakeholders using clear, accessible language. Your solutions should be strategic, adaptable, and well-aligned with the project goals.
• Proactively suggest and implement improvements to existing processes, engage in technical discussions, and lead code reviews, providing constructive feedback and innovative solutions.
• Be involved in the entire development lifecycle of data pipelines and warehouse architectures, applying critical thinking and leveraging advanced tools and methodologies to ensure impactful results.
• Embrace a bold and resilient mindset, experimenting with new approaches and learning from challenges to achieve success more often.

Key Requirements

• At least 2 years of experience in similar positions (Data Engineer, DWH developer, BI Engineer, or related).
• Basic understanding of cloud infrastructure.
• Strong DWH and data modelling experience (e.g., Star Schema, Snowflake Schema).
• Strong SQL skills, understanding of complex data structures, and performance optimisation.
• Experience with Python for data manipulation and automation.
• Fluent in English and strong communication skills.

Nice to Have

• Resilience and the ability to navigate change and adapt.
• Experience working in a fast-paced start-up environment.
• Experience with Snowflake-specific features.
• AWS-specific cloud infrastructure know-how.
• Experience with data modelling based on DataVault 2.0.
• Experience developing solutions using Generative AI, LLMs, or agentic architectures.
• Experience leveraging AI-powered SDLC workflows for both product and engineering tasks.

What you can expect

• Agile Company Culture and the Best Team
  • Global Projects and Opportunities
  • Social Events and Team Building
• Continuous Development
  • Training & Development
  • Growth Opportunities
• Flexible Working
  • Remote Friendly Culture
• Other Benefits
  • Great Equipment and Tools
  • Flexible Benefits
  • Extra Days OffHealth Insurance