ROLE SUMMARY
We're looking for a Data Engineer or Scientist capable of building scalable data pipelines, designing data architectures, and extracting predictive insights that drive real business decisions.
WHO WE'RE LOOKING FOR
The Data Engineer/Scientist sits at the intersection of engineering and analytics. They design the infrastructure that makes data available, clean, and usable at scale — and for the Data Scientist, they build models that predict, classify, and automate intelligence into business processes.
KEY RESPONSIBILITIES
- Design and maintain scalable data pipelines (ETL/ELT) using modern tooling.
- Build and manage data warehouses, data lakes, or lakehouse architectures.
- Collaborate with analytics and product teams to ensure reliable, timely data delivery.
- Develop and deploy machine learning or statistical models (Data Science focus).
- Monitor data quality and pipeline performance, resolving issues proactively.
- Document data architecture decisions and data lineage.
- Evaluate and adopt emerging data tooling and frameworks.
SKILLS
REQUIREMENTS
- 2–5 years in data engineering or data science.
- Proficiency in Python and SQL; experience with Spark, Airflow, or dbt is a plus.
- Knowledge of cloud data platforms (Snowflake, BigQuery, Redshift, Databricks).
- English B2–C1.
- Strong problem-solving skills and engineering discipline.
WE ALSO VALUE
Experience with MLOps, real-time streaming (Kafka, Flink), or advanced ML frameworks.
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