Data & Analytics Engineer at Syone

Lisbon, Rio Grande do Sul, Portugal -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Aws, Data Modeling, Etl, Data Governance, Data Visualization, Aws Quicksight, Power Bi, Qlik Sense, Agile, Scrum, Git, Data Pipelines, Stakeholder Management, English

Industry

IT Services and IT Consulting

Description

We are looking for a Data Engineer to join our team. What you'll do: Partner with business stakeholders to identify data-driven opportunities and translate business needs into technical solutions; Design, build, and maintain scalable data pipelines and data models to support analytics, reporting, and AI/ML initiatives; Develop and maintain data products, reporting solutions, and self-service analytics using modern data lake architectures; Process, transform, and integrate structured and unstructured data while ensuring data quality, governance, and reliability; Analyze data from multiple sources to generate insights and support business decision-making; Collaborate with cross-functional teams to deploy data solutions and monitor their performance throughout their lifecycle; Leverage cloud technologies and modern data platforms to build scalable and efficient data solutions; Communicate insights through clear visualizations and reports tailored to both technical and business audiences; Contribute to continuous improvement initiatives, promoting best practices in data management and analytics. What you will need to bring: Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field; 4+ years of experience in Data Engineering, Data Analytics, or Data Management; Strong experience designing and maintaining data pipelines and working with large datasets; Advanced SQL and Python skills for data processing and analysis; Experience with cloud platforms, preferably AWS, and modern data lake architectures; Solid knowledge of data modelling, ETL processes, and data governance principles; Experience with data visualization and reporting tools such as AWS QuickSight, Power BI (Microsoft Fabric), or Qlik Sense; Familiarity with Agile methodologies (Scrum); Knowledge of Git and collaborative development workflows is a plus; Experience with SSIS, Infrastructure as Code (IaC), R, or object-oriented programming is considered an advantage; Strong analytical, communication, and stakeholder management skills; Fluent English is mandatory; Portuguese is highly valued.** What we can offer: Integration into an innovative and data-driven environment with international projects; Opportunity to work with modern cloud and data technologies; Continuous learning and professional development; Career progression within challenging data and analytics initiatives. By applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing data.privacy@syone.com. Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email data.privacy@syone.com.

Responsibilities

Design, build, and maintain scalable data pipelines and models to support analytics, reporting, and AI/ML initiatives. Partner with stakeholders to translate business needs into technical solutions and generate actionable insights through data visualization.