YOUR MISSION We are seeking a world-class Senior Data Engineer to help shape and scale our data platform, powering insights and decision-making across our SaaS digital advertising products. You will design and build robust, scalable data pipelines and services that support analytics, machine learning, and customer-facing features. You will collaborate closely with Product Managers and Engineers to ensure our data systems are performant, reliable, and aligned with business goals. You will contribute directly to critical projects, lead technical discussions, conduct code reviews, and guide best practices in data engineering. To succeed, you should have strong expertise in building and managing a modern data stack, especially familiarity with Lakehouse architecture and cloud-based data platforms. Experience with AWS and technologies like dbt, Apache Spark, Apache Kafka / Amazon Kinesis, and Apache Airflow / Dagster is highly valuable. You should be passionate about clean, efficient data architecture with a proven track record of mentoring and improving engineering culture. An accomplished Senior Data Engineer at Factor Eleven consistently delivers high-quality solutions, fosters team collaboration, and improves system design, data reliability, and team growth. YOUR RESPONSIBILITIES Design, build, and maintain scalable, reliable data pipelines and platforms. Develop and implement ETL/ELT processes ensuring data accuracy and governance. Mentor fellow data engineers, sharing best practices and fostering a learning culture. Collaborate with engineering, product, and business teams to unlock insights and drive value. Deliver high-impact data solutions, managing timelines and project execution. Promote best practices for data engineering, testing, and documentation through reviews and discussions. Stay updated on industry trends, including cloud services and real-time analytics. Help scope work, estimate tasks, and ensure timely, quality delivery. YOUR PROFILE 5 years of experience in data engineering, focusing on data platforms and infrastructure. Deep understanding of data modeling techniques and trade-offs. Experience building and maintaining modern data stacks from scratch. Proficiency in Python and SQL, with experience in Apache Spark, Kafka/Kinesis, Airflow/Dagster, and dbt. Build resilient, well-tested data systems emphasizing performance, security, and maintainability. Excellent communicator, capable of explaining complex topics to technical and non-technical audiences, leading with empathy. Strong foundation in computer science, including data structures, distributed systems, and big data frameworks. Proven ability to influence strategic decisions through architecture and collaboration. Experience leading technical workshops and fostering a growth mindset. Understanding of scalable data system design, including lakes, warehouses (Snowflake, BigQuery), and streaming systems (Kafka, Kinesis). Advocate for automated testing and CI/CD for data pipelines. Collaborative problem-solver with mentoring skills. Excellent organizational and project management skills. Passionate about mentoring, growth, and knowledge sharing. WHY US? Factor Eleven's tech department is an in-house scale-up responsible for our SaaS product suite, offering localized digital advertising to enterprises. We power the engine behind our success and aim to elevate our platform's capabilities continuously. We work together to fulfill our ambitions as a top ad-tech provider, focusing on quality and innovation. Join our remote team in our mission to advance digital localized advertising and enjoy the camaraderie, flexibility, and perks of our fully remote setup. OUR PERKS & BENEFITS Transparent, above-market salaries 100% remote within Europe Flexible work hours and part-time options Be part of a fast-growing, skilled team In-person events and team gatherings Home office, co-working space allowance Professional development via Udemy courses Case-by-case relocation and visa support Please note that applicants must reside in and hold a work permit for an EU country. J-18808-Ljbffr J-18808-Ljbffr