At Factor Eleven, we are looking for a Senior Data Engineer to help shape and scale the data platform that powers insights and decision-making across our suite of SaaS digital advertising products. You will design and build robust, scalable data pipelines and services that fuel analytics, machine learning, and customer-facing features.

What You'll Do

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.
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 and unlock business insights.
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.
Stay informed about industry trends and advancements in the data ecosystem, including cloud services and real-time analytics.
Help scope work, estimate complexity, and break down tasks for yourself and the team to ensure on-time, high-quality delivery.

What We're Looking For

5+ years of professional experience in data engineering, with a deep focus on building and scaling data platforms.
Excellent understanding of different data modelling techniques and their trade-offs.
Experience building and maintaining a modern data stack from scratch.
Advanced proficiency in Python and SQL.
You build resilient, well-tested data systems with a focus on performance, security, and maintainability.
Solid foundation in computer science, with expertise in data structures, distributed systems, data modeling, and big data processing.
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.
Excellent organizational and project management skills.
Residing in and holding a work permit for a country in the European Union.

Nice to Have

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.
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.
Passion for mentoring and knowledge sharing.