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Data Engineer
Beatgrid Media B.V.
About the role
Data Engineer The Hague, NL - Engineering
What you'll bring
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Strong programming skills in one or more languages (Python, Java, Scala, etc.). Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Proficiency with AWS cloud services: EC2, EMR, RDS, Redshift. Strong analytical skills and problem-solving attitude. Personality Attitude towards improving knowledge and learning, trying to find the best practices. Open to receiving constructive feedback. Strong communication and interpersonal skills. Embrace best practices. Getting-things-done mentality
What's on offer
Perks Opportunity to work in a cutting-edge tech scale-up with a talented team. A collaborative environment that fosters innovation and professional growth. Competitive salary and comprehensive benefits. Employee Stock Options (optional) How to apply? At Beatgrid, we believe that the power of our cross-media solutions resides in the happiness and wellbeing of our team. The success of our business growth is a direct consequence of having a healthy corporate culture. We are on the path to becoming the future of cross-media measurement, but this is only achievable when blending a passion for work with life enjoyment. We are always looking for world-class talent, ready to tackle new daily ambitious challenges that will ultimately shape the future of cross-media measurement. (Please refrain from applying if you don’t have a valid VISA to work in the Netherlands).
About the company
We are seeking a dedicated Data Engineer to join our team. The Data Engineer will be responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems. This role requires collaboration with our Data Scientist and Senior Back-End Developer to ensure seamless data integration and optimization.
Responsibilities Data Architecture Development: Designed, constructed, installed, tested, and maintained highly scalable data management systems. Ensure systems meet business requirements and industry practices. Data Pipeline Construction: Build high-performance algorithms, predictive models, and prototypes. Integrate new data management technologies and software engineering tools into existing structures. Data Storage and Processing: Implement systems for big data in a cloud environment. Optimize data retrieval and develop dashboards, reports, and other visualization tools. Collaboration and Support: Work closely with Data Scientists to ensure optimal data delivery architecture. Collaborate with the IT team to integrate systems and data effectively. Leadership and Mentorship: Lead data-related projects and initiatives. Mentor team members and contribute to the team’s development.