Data Engineer - English

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.

• 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.

• 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.

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package
• Opportunities for professional development and support for continuing education.
• Flexible work hours and vacation policy.
• Hybrid work model in Barcelona City

• Full professional level of English

• 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