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. Your hands-on contributions to critical projects, leadership in technical discussions, code reviews, and mentoring will be vital.
To succeed, you should have strong expertise in building and managing a modern data stack, particularly 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 and have 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, architectures, and platforms.
* Develop and implement ETL / ELT processes ensuring data accuracy, completeness, and consistency with quality checks and governance.
* Mentor fellow data engineers and promote a culture of learning.
* Collaborate with engineering, product, and business teams to understand requirements and deliver insights that add value.
* Deliver high-impact data solutions, managing timelines and project execution.
* Maintain best practices for data engineering, testing, and documentation through reviews and discussions.
* Stay updated on industry trends, including cloud services, big data processing, and real-time analytics.
* Assist in scoping, estimating, and breaking down tasks to ensure timely, quality delivery.
YOUR PROFILE
1. 5+ years of experience in data engineering, focusing on building and scaling data platforms.
2. Deep understanding of data modeling techniques and trade-offs.
3. Experience building and maintaining a modern data stack from scratch.
4. Proficiency in Python and SQL, with experience using Apache Spark, Kafka / Kinesis, Airflow / Dagster, and dbt.
5. Ability to build resilient, well-tested data systems emphasizing performance, security, and maintainability.
6. Excellent communication skills for explaining complex topics and leading empathetically.
7. Solid foundation in computer science, including data structures, distributed systems, and big data frameworks.
8. Proven ability to influence strategic decisions through architectural leadership and collaboration.
9. Experience in organizing technical workshops and nurturing a growth mindset.
10. Deep knowledge of scalable data system design, including data lakes, warehouses (Snowflake, BigQuery), and real-time systems (Kafka, Kinesis).
11. Advocate for automated testing and CI / CD for data pipelines.
12. Collaborative problem-solver with mentoring skills and organizational talent.
13. Passion for mentoring, growth, and engineering excellence.
WHY US?
Factor Eleven's tech department is responsible for our SaaS product suite that offers localized digital advertising solutions. We power our platform's engine and continuously improve platform quality and capabilities. Join us to help move digital localized advertising forward, enjoying a fully remote, collaborative, and innovative environment.
OUR PERKS & BENEFITS
14. Above-market salaries
15. 100% remote within Europe
16. Flexible hours and part-time options
17. Join a fast-growing, skilled team
18. In-person events and team-building
19. Home office, co-working, and work-together allowances
20. Professional development courses (Udemy)
21. Relocation and visa support on a case-by-case basis
Please note : Applicants must reside in and hold a work permit for an EU country.
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