Senior Data Engineer

KEENFOLKS

full-time

Posted on: 9/23/2025

Origin: • 🇪🇸 Spain

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Senior

AirflowAmazon RedshiftApacheAWSAzureBigQueryDockerETLFlaskJavaJenkinsKafkaKubernetesMySQLNoSQLNumpyPandasPostgresPythonScalaSparkSQLTerraform

About the role

Design and lead the implementation of scalable, high-performance data architectures (ETL/ELT)
Define standards and best practices across the organization
Develop applications, APIs, and pipelines for data ingestion, processing, and consumption
Implement advanced solutions on AWS and Azure (data warehouses, data lakes, streaming)
Automate and optimize ingestion, transformation, and loading processes with resilience and observability
Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production
Mentor and guide junior and mid-level engineers through code reviews and architecture decisions
Explore new technologies (Data Mesh, RAG, MLOps, etc.) to drive innovation

7+ years of experience in Data Engineering or Software Development with a data focus
Strong programming in Python (Pandas, NumPy, SQLAlchemy) and advanced SQL
Expertise with Apache Spark, Airflow, and modern orchestration
Experience with databases (PostgreSQL, MySQL, SQL Server) and data warehouses (Snowflake, BigQuery, Redshift)
Hands-on experience with AWS or Azure data ecosystems
Knowledge of DevOps tools: Docker, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
Bachelor's/Master's in Engineering, Computer Science, or related fields
Fluent in technical English (reading/writing)
Nice to have: Scala/Java, Kafka, NoSQL, Graph Databases, Kubernetes, Terraform, time-series DBs, pytest/unittest, API development (FastAPI/Flask)
Background in Machine Learning and MLOps
Previous experience in startups, scale-ups, or high-growth environments
Technical leadership and autonomy; ability to mentor junior and mid-level engineers