Data Engineer
hace 4 días
Our client is a tech startup offering growth services to mobile app businesses. With app developers and publishers as clients worldwide, they have 3 Hubs (Warsaw, Barcelona, and Virginia) and are now looking for a Data Engineer to join the People team
You will be responsible for constructing, maintaining, and optimizing their data infrastructure, ensuring a smooth data flow and accessibility to support machine learning, analytics, and business operations.
Tasks
Oversee and manage the internal ML data platform, encompassing data ingestion, storage, and transformation to support machine learning model development.
Design, build, test, and automate data pipelines to optimize efficiency.
Establish and enforce data handling and processing best practices within the ML domain.
Develop and implement internal tools to streamline data processes and business operations, improving scalability and productivity.
Collaborate closely with product, MLOps, and data science teams to deliver exceptional data experiences for all ML practitioners and consumers.
Requirements
Minimum 3 years of hands-on data engineering experience.
Proficient in Python 3 at utilizing data manipulation frameworks such as Pandas and PySpark.
Expertise in managing data storage solutions including AWS S3, data lakes, and data warehouses.
Proven track record in orchestrating data workflows with tools like Dagster or Airflow.
Solid understanding of streaming data technologies like Kafka and Spark.
Fundamental knowledge of machine learning principles and data analytics methodologies.
Basic proficiency in data visualization and business intelligence tools.
Residency in Barcelona or willingness to relocate.
Benefits
Competitive salary and performance-based bonuses.
Comprehensive benefits package.
Opportunities for professional development and support for continuing education.
Flexible work hours and vacation policy.
Languages
Full professional level of English.
Our recruitment process
Step 1: Interview with our Recruiter to get to know you.
Step 2: Interview with our client's Head of People.
Step 3: Technical interview with the Hiring Manager.
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