Data Engineer, Product
SpainFull-TimeSenior
Salary64,800 - 74,400 EUR per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLETLKafkaMachine LearningSparkData modelingDatabricks
Requirements
- 5+ years of experience in Data Engineering or a similar role within data-intensive or product-driven environments.
- Strong hands-on experience with Apache Spark and Python for large-scale data processing and transformation.
- Solid knowledge of SQL and experience designing and working with data models and transformation logic.
- Proven experience building and maintaining ETL/ELT pipelines with end-to-end ownership.
- Experience working with high-volume data systems, including batch and/or near real-time processing pipelines.
- Strong ability to collaborate with Machine Learning and product teams in ML-driven environments.
- Familiarity with Databricks is a plus.
- Experience with streaming technologies (e.g., Kafka, Flink), feature stores, or ML data workflows is highly desirable.
- Strong problem-solving mindset with attention to scalability, performance, and data reliability.
Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines that transform raw data into high-quality datasets for machine learning and product use cases.
- Develop and optimize data transformation workflows supporting feature engineering for both offline model training and online inference systems.
- Collaborate closely with ML Engineers to understand data requirements and deliver reliable inputs for recommendation systems and predictive models.
- Ensure strong data quality, governance, and monitoring across all pipelines to guarantee accuracy, reliability, and consistency of datasets.
- Own data pipelines end-to-end, including design, implementation, deployment, monitoring, and continuous improvement.
- Improve performance, scalability, and efficiency of large-scale data processing systems, including batch and near real-time workloads.
- Contribute to building robust data foundations that enable experimentation, personalization, and ML-driven product innovation.
View Full Description & ApplyYou'll be redirected to the employer's site
