Senior Data Engineer

Summary

Join Mercedes-Benz.io as a Data Engineer and contribute to their data strategy and transformation efforts. You will design, build, and maintain robust data pipelines, ensuring efficient data collection and availability. Collaborate with data analysts and business teams to develop data products and support cross-functional initiatives. Work in Lisbon, Braga, or remotely from anywhere in Portugal, enjoying a flexible work environment and company events. Mercedes-Benz.io offers a variety of benefits, including health and life insurance, professional development opportunities, and a supportive work culture.

Requirements

• Proven experience as a Data Engineer, with a strong understanding of ETL processes, data modelling, and data pipeline management (e.g. Python, Pyspark)
• Experience with managing and developing data marts and working with large-scale data systems
• Strong proficiency in business intelligence tools and analytics practices, supporting data product development (e.g., dashboards, reports)
• Solid understanding of data quality, integrity, and security standards
• Ability to collaborate effectively with data analysts and business teams to meet organizational data needs
• Strong problem-solving skills and experience in optimizing data pipelines and warehouse performance
• Strong understanding of RESTful APIs, GraphQL, and middleware solutions to design and govern data exchange between applications and the Data Warehouse
• Experience in automating data processes and monitoring systems
• Excellent communication skills and the ability to document workflows and promote best practices

Responsibilities

• Design, build, and maintain ETL pipelines to move and transform data from various sources into our data warehouse
• Develop and optimize data models and data marts to enable efficient storage, retrieval, and analytics for business operations
• Ensure the quality and integrity of data through validation and cleansing processes, addressing any data pipeline or data mart issues
• Manage and optimize the data warehouse and data marts to ensure they are secure, scalable and meet business needs
• Collaborate with data analysts and business teams to support the development of data products such as dashboards and reports
• Continuously monitor and optimize the performance of data pipelines and data marts to improve processing efficiency and reduce costs
• Ensure compliance with data security protocols and relevant data protection regulations
• Automate data processes to increase efficiency and set up monitoring systems to detect and address issues proactively
• Maintain clear documentation of data pipelines, data marts, and best practices for data engineering
• Ensure seamless integration between internal applications as well as with our Data Warehouse
• Define data exchange protocols & API governance for our internal applications
• Support cross-functional data analytics initiatives
• Work with IT Administrator to assess technical feasibility & implementation of new software integrations

Preferred Qualifications

• Have AWS cloud knowledge, with focus on AWS Lambda, glue, StepFunction, S3 and QuickSight
• Have DevOps knowledge, with focus on GitHub CI/CD and Infrastructure as Code (e.g. Pulumi, Terraform)

Benefits

• Health insurance for you and your family
• Life insurance
• Proactive self-development in international Trainings and Conferences
• Language Training courses
• Wellbeing actions (massages, nutrition sessions, happy hour and more)
• Brand Connection Perks