Data Engineer responsible for data modeling and exploration to generate client business opportunities. Working with a hybrid model two days in the office located in the Porto region.
Responsibilities
Join a team that works on data exploration and modeling to generate business and management opportunities for our client.
Requirements
At least 3 years of experience in similar roles
Experience in data engineering or equivalent roles
Proficiency in data modeling and storage (Data Warehouse, Data Lake, ...)
Experience with SQL, Python, and PySpark (or equivalent data processing technologies)
Knowledge of engineering best practices: code versioning (Git), code review, development patterns, and automation
Familiarity with cloud environments (e.g., Azure, GCP, or AWS)
Familiarity with reporting tools (e.g., MicroStrategy) - Nice to have
Familiarity with distributed ecosystems, ideally including Hadoop, Hive, Spark, or Databricks
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.