Keenfolks is a cutting-edge, integrative AI marketing agency specializing in harnessing the power of artificial intelligence to drive personalized and effective marketing strategies. We work with global brands to bridge the gap between digital marketing and emerging AI technologies, ensuring our clients stay at the forefront of innovation. Our team thrives on creativity, data-driven insights, and customer-centric solutions.
At Keenfolks, we believe data is the heart of innovation. We’re looking for a Data Engineer who is passionate about building reliable data solutions and wants to contribute to the growth of our data ecosystem. This role is ideal for someone eager to learn, collaborate, and develop their expertise in data engineering and analytics.
Technology & Data
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 learn best practices in software and data engineering.
Stay up-to-date with new technologies (Data Mesh, RAG, MLOps, etc.) and propose innovative solutions.
2+ years of experience in Data Engineering or Software Development with a data focus.
Proficiency in Python (Pandas, NumPy, SQLAlchemy) and SQL.
Familiarity 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 fields.
Fluent in technical English (reading/writing).
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.
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.
Flexible hybrid work: two days in the office, three from home 🏡
Free lunch on office days 🍲
Fresh fruit, coffee, tea, and snacks 🍎 ☕️ 🫖
Office activities 🏓🧘♀️
30 days working from abroad 🌍
Birthday day off 🥳
23 vacation days 🌴
2 personal days 🪐
At Keenfolks, we believe in pushing boundaries and that innovation requires vulnerability. We are constantly in search of greatness and reward those who see themselves as change-makers and are experimental in their approach. If you are eager to learn, grow, and contribute with an entrepreneurial mindset, we want to connect with you.
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.
Follow us on LinkedIn & Instagram @the_keenfolks to learn more about our culture and values! 🚀