Data Engineer

Your profile

• We welcome candidates with a solid background in data analysis or software development, seeking professionals with proven experience or recent graduates. Regardless of your background, a crucial element is your intellectual curiosity, self-motivation, and a demonstrable ability to translate real-world challenges into data models, ETL processes, algorithms, and ultimately, functional code. A strong interest in data engineering and/or the AdTech domain, along with its associated technologies, is highly desirable, as well as knowledge of object-oriented programming languages, particularly Scala.
• Minimum Qualifications:
• A strong academic background in a quantitative field (Computer Science, Mathematics, Physics, or related disciplines).
• Hands-on experience in designing, building, and maintaining scalable and reliable data pipelines.
• Proficiency in Python, Scala or other OOP languages for data engineering and processing tasks.
• Strong data analysis skills, including working with large datasets.
• Knowledge of distributed data processing for batch workloads.
• Solid understanding of database technologies.
• Desired Qualifications:
• 2-3 years of experience with Scala for data processing.
• Strong software engineering skills, including experience with CI/CD pipelines and best coding practices.
• Familiarity with data integrations and efficient data transfers.
• Knowledge of data modeling, data warehousing concepts, and query optimization techniques.
• Experience with distributed data processing using Apache Spark.
• Experience with Airflow for workflow orchestration, scheduling, and monitoring data pipelines.
• Cloud expertise, particularly AWS, including services such as S3, Glue, Athena and EMR.
• You approach problems with an analytical mindset and a pragmatic approach to solution development. You are a creative thinker, capable of identifying opportunities and weaknesses in proposed solutions, and constructively contributing with your own ideas. You thrive in a dynamic environment, adept at juggling multiple projects and connecting them with underlying data. You recognize that exploring new facets of data often yields greater insights than fine-tuning algorithmic parameters. You are equally comfortable implementing and optimizing solutions, and you are eager to tackle new challenges.
• You are a proactive and independent worker, eager to understand and engage with the company's core problem space. You possess excellent English communication skills, enabling effective collaboration with management and colleagues across our international offices. You are adaptable and comfortable navigating a dynamic environment where priorities may shift, taking ownership of tasks and seeing them through to completion.
• What we offer
• Join our dynamic team, largely comprised of Masters and PhDs in fields like Physics, Math, and Computer Science, and play a key role in shaping the future of our technology. You will collaborate with highly skilled professionals in a stimulating environment that fosters both learning and individual initiative. While we are passionate about exploring cutting-edge technologies and algorithms, we maintain a practical approach to implementing solutions.
• We believe in empowering our employees with autonomy and flexibility. We offer flexible work arrangements, including adjustable office hours and the possibility of occasional remote work, provided commitments are consistently fulfilled. You will have the freedom to select your preferred operating system (Mac, Windows) and development tools, with the expectation of independent maintenance and troubleshooting. We encourage the introduction of new technologies, contingent upon demonstrating their value and gaining team buy-in.
• Our international presence provides ample opportunities for cross-departmental collaboration and potential career advancement in locations like Berlin, San Francisco or New York.
• Interested candidates are encouraged to apply via LinkedIn, submitting a cover letter along with their application. Interviews will be scheduled on a continuous basis.