YOUR 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.
Requirements
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.
Benefits
WHY US?
Factor Eleven’s tech department is the inhouse tech scale-up responsible for our SaaS product suite offering localized digital advertising to enterprises of all sizes and shapes. We’re powering the engine that Factor Eleven is successfully built upon and elevate the possibilities of our product on a daily basis. We’re working together to fulfill our ambitions as a top ad-tech provider by continuously leveling up the quality and expanding capabilities of the entire platform, as well as our engineering and product organization.
Join our amazing team in our mission to move digital localized advertisement forward and enjoy the freedom, camaraderie and perks of our fully remote operations.
OUR PERKS & BENEFITS
- Transparent, above-market salaries
- 100% remote within Europe
- Flexible work-hours and part-time models
- Be part of a fast-growing, highly-skilled team
- In person department and company events
- Home office, co-working space and work-together allowance
- Personal and professional development courses from Udemy
- Case by case relocation and visa support
Please note that you need to be residing in and hold a work permit of a country in the European Union to be considered for this role.
We are a leading technology company offering advertisers, agencies and small and medium businesses (via resellers) the most intuitive digital advertising platform with a local focus on the market. With our powerful digital media products, we are a true alternative to Google and Facebook on the Open Internet. Currently, our platform supports the media channels “Display”, “Mobile and “Video”. “Digital Out of Home” and “Addressable TV” will follow shortly.
Founded in 2014 by our CEO Alexander Anhuth, we rely on proprietary algorithms, 100% brand safety, full transparency and offer solutions for national, regional, and local campaigns that are billed on a KPI basis. We are constantly developing our technology stack to automate and simplify the process from campaign planning to billing. This means that campaigns can be booked not only using the managed service, but also via self-service in the style of Google and Facebook. In addition, we also provide an API to be able to integrate our tools and products directly into the working environment of our customers. In 2019, we convinced the jury of the SMARTech Awards with our approach and won the award for most innovative startup.
Thanks to the successful cooperation with agencies, advertisers and resellers, our platform currently processes thousands of simultaneously running campaigns for over 1,000 companies. We are proud to count renowned companies such as Vodafone, Poco, Group M, 11880, Holidaycheck, Funke Medien and many more among our customers and partners. Currently, our team consists of about 90+ employees who, in addition to the German market, also serve the Austrian, French and Italian markets. We already have our sights firmly set on entering other markets.
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