Please note, the employing company is Conductor GmbH.
Conductor is a leading Website Optimization & Intelligence platform. Today's top brands use Conductor to create and optimize digital experiences that get found organically in search engines and drive value for customers. The platform provides actionable SEO, content, and technical website intelligence paired with real-time website monitoring to help customers accelerate—and protect—digital growth.
Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of all the people in our orbit—our customers, our customers' customers, our employee-owners, and our communities.
We are looking for a Data Engineer who is ready for the next step in their continuing journey toward excellence. In this role, you'll work with a team of Data Engineers and Analysts across R&D to help design and build the next generation of our data infrastructure. This entails building ETL pipelines to combine disparate data sources in a unified data lake, creating tools to automate processes and workflows, and developing Machine Learning algorithms to drive growth, efficiency and impact the bottom line.
To support our Customer Business & Engineering Team, we are looking for a new:
Data Engineer (f/m/d)
(Hybrid in Berlin or remote in Germany/ Full-time/ Permanent Contract)
- Design and implement data storage structures and scalable, distributed ETL pipelines to bring disparate data sources into a unified data lake
- Develop and enhance internal reporting platform
- Partner with stakeholders from across the organization, including Engineering, Product, CS, Sales and Marketing, to understand data requirements and business objectives
- Partner with Data Analysts and Data Scientists to define data models to support reporting and dashboards to track KPIs that drive business decisions
- Develop and design procedures, systems and measurement tools to improve business processes
- Identify and improve upon current internal processes through automation and optimization
- Maintain and improve existing infrastructure and services'
- Help the organization grow and scale by enhancing customer engagement, understanding customer behavior and automating user outreach
- Monitor Data Pipelines and ETL processes to proactively address any issues and ensure predictable delivery of data assets
- 2+ years of experience in a data engineering role
- Strong proficiency with Python
- Proficiency with SQL and Database technologies
- Proficiency with APIs and data transformations
- Proficiency with Data Quality/Quality Assurance
- Experience with Cloud computing technologies: AWS (S3, SQS, EC2, Athena, etc.), Google Cloud Platform, etc.
- Familiarity with Go, Java, Scala or similar language a bonus
- Familiarity with modern containerization and orchestration technologies (Docker, Kubernetes, etc.)
- Familiarity with technologies such as Spark, Kafka, etc.
- Familiarity with AI/ML techniques
- Strong problem-solving skills and attention to detail.
- Good communication skills to collaborate effectively within cross-functional teams.
- Ability to adapt to evolving technologies and learn new tools quickly.
- You are fluent in spoken and written English
- You have a Bachelor's degree preferably in Computer Science, Mathematics, or a related field
- Collaboration: We believe that individuals do their best work when working together in diverse, inclusive, and cohesive teams.
- Excellence: We believe in doing things the "right way" rather than the "fast way," and holding ourselves to a higher standard of work ethics and excellence.
- Growth: We believe individuals do their best work when they are constantly growing, learning, and changing.
- Communication: We believe in combining empathy with openness and honesty to set clear expectations and hold each other accountable.
- Impact: We believe we're making the world a better place by empowering marketers to really help their customers rather than just sell stuff.
- Friendly, open-minded and helpful international colleagues
- Access to the learning platform LinkedIn Learning
- Soft drinks and fruit as well as regular breakfast and pizza days
- Team and company events
- Urban Sports (M) or Fitness First membership
- 28 days vacation at the start, 30 days after two years
- Company pension allowance
- Dog-friendly office