Senior Data Engineer

hace 5 días


Madrid Centro, Madrid, España Roadsurfer GmbH A tiempo completo
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Roadsurfer GmbH. As a Senior Data Engineer, you will play a key role in designing, implementing, and maintaining our data pipelines and infrastructure.

Key Responsibilities
  • Data Pipeline Development
    • Design, implement, and optimize data pipelines using tools such as Fivetran and DBT.
    • Ensure data quality and integrity throughout the ETL process.
    • Develop and maintain scalable data infrastructure on Google Cloud BigQuery.
  • Customer Data Platform (CDP) Integration and Management
    • Lead the integration of data from various sources into a Customer Data Platform, specifically utilizing Segment.
    • Manage and optimize the flow of customer data across systems to ensure efficient data processing and storage.
    • Develop strategies for leveraging the CDP to create a unified and actionable customer view.
  • Collaboration and Stakeholder Engagement
    • Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
    • Provide actionable insights and recommendations through clear and concise communication of complex data engineering results.
    • Guide stakeholders in implementing data-driven strategies and solutions.
  • Supporting Team Members
    • Conduct peer reviews of code and data engineering approaches to ensure best practices and knowledge sharing.
    • Mentor junior data engineers and analysts, providing guidance on technical challenges and career development.
  • Fostering a Data-Driven Culture
    • Develop and deliver training sessions on data engineering topics, tools, and best practices to enhance data literacy across the organization.
    • Promote the use of modern data engineering tools and methodologies in decision-making processes through workshops, seminars, and other educational activities.
Requirements
  • Educational Background
    • You have successfully completed a bachelor's degree, preferably in engineering, physics, informatics, computer science, or other STEM-related areas.
  • Professional Experience
    • You have several years of relevant experience as a data engineer, with a strong focus on building and maintaining data pipelines and infrastructure.
    • You have a proven track record of working extensively with Segment and Customer Data Platforms.
  • Technical Skills
    • You have advanced proficiency in SQL for data extraction and manipulation.
    • You are skilled in using Python for data engineering tasks and automation.
    • You have extensive experience with cloud-based data warehousing solutions, particularly Google Cloud BigQuery.
  • Analytical and Decision-Making Abilities
    • You are adept at making data-driven decisions and guiding stakeholders to achieve optimal strategies based on actionable insights.
    • You possess strong problem-solving skills and the ability to translate complex data engineering challenges into clear, actionable solutions.
  • Communication Skills
    • You are business fluent in English, both written and verbal.
    • You can effectively communicate technical concepts to non-technical stakeholders and collaborate with diverse teams.

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