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Senior Data Engineer (Europe, Remote, m,d,f) Factor ElevenYOUR MISSION. We are looking for a world-class Senior Data Engineer to help shape and scale our data platform, powering insights and decision-making across our suite of SaaS digital advertising products. You’ll play a key role in designing and building robust, scalable data pipelines and services that fuel analytics, machine learning, and customer-facing features. . You’ll collaborate closely with Product Managers and Engineers to ensure our data systems are performant, reliable, and aligned with business goals. You’ll contribute hands-on to critical projects, lead technical discussions, conduct code reviews, and guide others in best practices for data engineering. . To thrive in this role, you should bring strong expertise with building and managing a modern data stack – particularly familiarity with Lakehouse architecture and cloud-based data platforms.  . Experience with AWS cloud platform and technologies like dbt, Apache Spark, Apache Kafka/Amazon Kinesis, and Apache Airflow/Dagster are highly valuable. You're passionate about clean, efficient data architecture and have a proven track record of mentoring others and improving engineering culture. . An accomplished Senior Data Engineer at Factor Eleven is someone who consistently raises the bar – delivering high-quality solutions, strengthening team collaboration, and leaving lasting improvements in system design, data reliability, and team growth.. YOUR RESPONSIBILITIES. . . Design, build, and maintain data pipelines, architectures, and platforms, ensuring scalability, reliability, and efficiency. . . Develop and implement ETL/ELT processes to move and transform data for analysis, ensuring data accuracy, completeness, and consistency through quality checks and governance frameworks. . . Mentor and support the growth of fellow data engineers by sharing best practices and encouraging a culture of learning. . . Work closely with peers across engineering, product, and business teams to understand requirements to unlock business insights that drive business value. . . Consistently deliver high-impact data solutions – owning timelines, sharing updates, and driving end-to-end project execution. . . Maintain and promote best practices for data engineering, testing, and documentation by actively engaging in technical reviews and design discussions. . . Stay informed about industry trends and advancements in the data ecosystem, including cloud services like AWS, big data processing, and real-time analytics. . . Help scope work, estimate complexity, and break down tasks for yourself and the team to ensure on-time and high-quality delivery. . . YOUR PROFILE. . 5+ years of professional experience in data engineering, with a deep focus on building and scaling data platforms and infrastructure. . . Excellent understanding of different data modelling techniques and their trade-offs. . . You have experience building and maintaining a modern data stack from scratch. . . Advanced proficiency in Python and SQL, with experience using tools Apache Spark, Apache Kafka/Amazon Kinesis, Apache Airflow/Dagster and dbt. . . You build resilient, well-tested data systems with a focus on performance, security, and maintainability. . . You’re an excellent communicator – capable of explaining complex technical topics to both technical and non-technical stakeholders, and you lead with empathy during difficult conversations. . . Solid foundation in computer science, with expertise in data structures, distributed systems, data modeling, and big data processing frameworks. . . Proven track record of influencing strategic decisions through architectural leadership and cross-functional collaboration. . . Experience organizing technical workshops or sessions, nurturing a growth mindset and a culture of engineering excellence. . . Deep understanding of scalable data system design, including data lakes, data warehouses (e.g. Snowflake, BigQuery), and real-time streaming systems (e.g Kafka, Kinesis). . . Strong advocate of automated testing and CI/CD for data pipelines and infrastructure. . . Highly collaborative with exceptional problem-solving skills and the ability to mentor others in a supportive and respectful way. . . Excellent organizational and project management skills – you can juggle priorities and keep projects on track. . . Passion for mentoring and knowledge sharing – you thrive in helping others grow and succeed. . Company Location: Germany.