We are looking for a
Senior Data Engineer to join us. In this role, you will design, build, and optimize data pipelines and infrastructure to ensure that high-quality, reliable data powers our products, analytics, and decision-making. You will work closely with data scientists, analysts, and software engineers to enable scalable data-driven solutions that support Klivvr's mission of delivering innovative fintech experiences.
What you'll do:
- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows
- Build and optimize data warehouses, data lakes, and real-time streaming systems
- Partner with product, engineering, and analytics teams to understand data needs and deliver reliable solutions
- Ensure data integrity, governance, security, and compliance across systems
- Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency
- Mentor junior engineers and contribute to best practices and standards across the data team
- Stay current with industry trends, tools, and emerging technologies in big data and cloud computing.
To succeed in this role, you'll need to have:
- 4+ years of experience in data engineering or similar roles
- Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
- Experience with data pipeline creation, orchestration & data processing frameworks (AirByte, AirFlow, DBT/DataForm, Apache Spark, etc.)
- Hands-on expertise with cloud platforms
- Experience with big data technologies
- Knowledge of data modeling, warehousing (BigQuery) and database design
- Strong understanding of data governance, security, and compliance
- Excellent problem-solving, communication, and collaboration skills
- Experience in the fintech is a plus
- Familiarity with machine learning pipelines and MLOps is a plus
- Contribution to open-source data engineering projects
- Familiarity with code version control and deployment & monitoring strategies
