What do we expect from you?

Key Requirements: 

• At least 3 years of experience in data engineering or data science
• Experience with data warehouses and diverse data models
• Experience with database access and management tools like Oracle SQL Developer, DBeaver, etc.
• Experience with Python and SQL for data manipulation, analysis, and scripting
• 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

What you can expect

Perks & Benefits:

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!)! 

Hiring Process

One of the perks of being a part of synvert is that you’ll join a global team of over 500 experts from Germany to the UK, Croatia and even the UAE.   
As a member of our team, you’ll have the opportunity to work on cutting-edge cloud native and AI solutions, leveraging synvert's extensive industry knowledge and technical expertise.  

Join us and be at the forefront of delivering excellence in DevOps, Data, and Digital Products! 
 
And even if you don’t think you meet 100% of the requirements, submit your application. We’re always happy to meet new people! 
See you on the other side! 
 
And just as a FYI, here’s what you can expect from our application process: 
→ PX Interview  →Tech Interview → Final Interview → Offer 

About ClearPeaks

Your tasks

As a Data Scientist, 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.