Senior Data Engineer

• Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations
• Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign
• Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
• Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
• Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
• Provide constructive feedback and share expertise with fellow team members, fostering mutual growth and learning
• Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
• Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

• BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
• Experience in technology-related fields, which can be industry and/or academic research (e.g., BI, Software, Data Science, Data Engineering)
• At least 3 years of experience as a Data Engineer
• Have actively participated in the design and development of data architectures
• Hands-on experience in developing and optimizing data pipelines
• Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
• Effective English communication - able to explain technical and non-technical concepts to different audiences
• Experience with a general-purpose programming language such as Python or Scala
• Ability to work well in teams and interact effectively with others
• Ability to work independently and manage multiple tasks simultaneously while meeting deadlines
• Fluent English

• Cloud platforms and services, such as AWS, GCP, or Azure
• Big data tools such as Hadoop, Spark or Kafka
• Orchestration tools such as Airflow
• NoSQL databases
• Containerization technologies such as Docker and Kubernetes
• An agile development environment and familiarity with Agile methodologies

• Collaborative Environment: We value a sense of community where ideas are shared, and achievements are celebrated as a team.
• Work from Anywhere: Enjoy the freedom and flexibility to work from wherever you feel most productive and comfortable.
• Global Connection: An opportunity to interact with people from different countries and cultures, expanding your network and worldview.
• Physical Health Support: Through TotalPass and Mediquo, we provide resources and programs, and telemedicine dedicated to your physical well-being.
• Mental Health Care: Team Care provides initiatives and actions to support your emotional and mental balance in daily life.

DBServices Portugal