Data Engineer (M/F/D)
Data Engineer at synvert (a GlobalLogic company) in Portugal, building data pipelines and scalable data warehouse solutions for internal and external clients, from business requirements through deployment. Core stack is SQL, Python, data modelling (Star/Snowflake schemas), with cloud (AWS) and Snowflake know-how preferred.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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 product and engineering tasks
Full description
S
Data Engineer (m/f/d)
Empresa : Synvert A Globallogic Company Tipo de Emprego : Periodo Integral Lisbon, Portugal
Descrição do Emprego - Data Engineer (m/f/d)
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 – all from our offices in Leiria, Lisbon and Viseu (so far!)!
Your Tasks
As a Data Engineer ,you willbe a key part of the team, enabling andfacilitatinga 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.
You'll be part of a smart and supportive cross-disciplined team, including Software Architects and Cloud Experts, to ensure full-stack alignment in our Cloud Native Acceleration projects. And, y ou 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 insight on where to go.
We are looking for someone with experience in Data Warehouse development to join our team. In your role, you will be responsible for analysing the needs of the business and implementing them based on User Stories. You will work closely with cross-functional teams to design and implement solutions that ensure an efficient, secure, and scalable data Warehouse solution.