Senior Data Engineer

• Assist in the design and implementation of scalable data pipelines (ETL/ELT).
• Collaborate with senior engineers to maintain high-performance data architectures.
• Develop applications, APIs, and pipelines for data ingestion, processing, and consumption.
• Work with AWS and Azure data services (data warehouses, data lakes, streaming).
• Support automation and optimization of data workflows with monitoring and observability.
• Collaborate with Data Scientists, Analysts, and Product teams to integrate analytics and ML models into production.
• Participate in code reviews and promote best practices in software and data engineering.
• Stay up-to-date with new technologies (Data Mesh, RAG, MLOps, etc.) and propose innovative solutions., * Flexible hybrid work: two days in office, three days from home.
• Free lunch on office days.
• Fresh fruit, coffee, tea, and snacks.
• Office activities and 30 days working from abroad.
• Birthday day off.
• 23 vacation days and 2 personal days.

Your Attitude

At Keenfolks we push boundaries and reward those who see themselves as change-makers and are experimental. If you are eager to learn, grow, and contribute with an entrepreneurial mindset, we want to connect with you. Diversity Matters

Keenfolks is an equal-opportunity employer. We strive for true equality for all and aim to positively impact society through our culture, corporate social responsibility, and daily actions. #J-18808-Ljbffr

• 7+ years of experience in Data Engineering or software development with a data focus.
• Proficiency in Python (Pandas, NumPy, SQLAlchemy) and SQL.
• Experience with Apache Spark, Airflow or other data orchestration tools.
• Experience with relational databases (PostgreSQL, MySQL, SQL Server) and/or data warehouses (Snowflake, BigQuery, Redshift).
• Exposure to cloud data ecosystems (AWS or Azure).
• Basic knowledge of DevOps tools: Docker, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Bachelor's degree in Engineering, Computer Science, or related field.
• Fluent technical English (reading / writing).

Nice to Have

• Experience with Scala/Java, Kafka, NoSQL, graph databases, or Kubernetes.
• Familiarity with Terraform, time-series DBs, pytest/unittest, and API development (FastAPI/Flask).
• Understanding of Machine Learning and MLOps concepts.
• Previous experience in startups, scale-ups, or fast-growing environments.

What We Value

• Willingness to learn and take initiative.
• Clear and effective communication.
• Passion for problem-solving and innovation.
• Collaboration with cross-functional teams and openness to mentorship.

Keenfolks is a cutting-edge AI marketing agency focused on delivering personalized marketing solutions to global brands. We use data and AI to stay ahead of the curve.