Data Engineer – Design & Build Scalable Data Platforms

About the role

We are looking for a skilled Data Engineer to design, build, and maintain a modern data platform that powers analytics, reporting, and real‑time decision making. You will own end‑to‑end data pipelines, warehouse architecture, and change‑data‑capture (CDC) solutions, ensuring data is reliable, accessible, and cost‑effective.

Key responsibilities

• Design and maintain end‑to‑end data architecture from source systems to analytics platforms.
• Build and manage ETL/ELT pipelines using Apache Airflow.
• Develop and optimise data warehouses in Google BigQuery and ClickHouse.
• Implement CDC solutions with Debezium, Kafka, and Altinity Sink Connector.
• Manage Kafka infrastructure via Strimzi Operator on Kubernetes/EKS.
• Create scalable data models, fact tables, and dimension tables.
• Optimise ClickHouse performance through partitioning, indexing, and query tuning.
• Implement data quality, monitoring, alerting, and observability frameworks.
• Collaborate with analytics, engineering, product, and business teams to deliver trusted data solutions.

Required profile

• Proven experience as a Data Engineer.
• Advanced SQL and data‑modeling expertise.
• Hands‑on experience with Google BigQuery, ClickHouse, Apache Airflow, Apache Kafka, and Debezium CDC.
• Experience building large‑scale ETL/ELT pipelines and working in distributed, event‑driven architectures.
• Familiarity with cloud platforms and containerised environments.

Required skills

• Google BigQuery
• ClickHouse
• Apache Airflow
• Apache Kafka
• Debezium
• Altinity Sink Connector
• Strimzi Operator
• Kubernetes (EKS)
• SQL
• Python
• dbt
• Terraform
• GCP