Senior Data Engineer
Core
Design and implement robust, scalable data architectures and pipelines to support analytics, reporting, and real-time data processing for client projects.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Automated data ingestion pipelines, ETL/ELT processes, data models, and scalable data infrastructure.
Domain
Digital Agency / Consulting, Data Engineering, Cloud Platforms
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, Scala/Java, SQL, Apache Spark, Apache Kafka, Apache Airflow, Docker, Kubernetes, Terraform, Cloud Platforms (AWS/Azure/GCP), Data Modeling, Data Governance
Preferred skills
dbt, Fivetran, Snowflake, Databricks, MLOps, Event-driven architectures, Graph databases, Real-time analytics
Technologies
AWS, Azure, GCP, PostgreSQL, MySQL, MongoDB, Apache Hadoop, Apache Kafka, Apache Airflow, Docker, Kubernetes, Terraform, CloudFormation
Responsibilities
Design and implement scalable data architectures and pipelines; Build and maintain ETL/ELT processes for batch and real-time data; Develop data models and schemas optimized for analytics; Collaborate with data scientists, analysts, and business stakeholders; Partner with client teams to understand data requirements and deliver solutions; Participate in architecture reviews and technical decision-making.
Seniority
Senior, hands-on IC
