Data & Analytics Engineer

Responsibilities

• Design and implement modern data architectures: lakehouse, data meshes, and streaming pipelines
• Build transformation layers using dbt and orchestration with Airflow
• Implement data quality frameworks and governance practices
• Create dashboards and analytics solutions using Power BI, Looker, or Tableau
• Design KPI frameworks and data storytelling approaches for engineering metrics
• Collaborate with AI/ML teams to ensure data readiness for model training and inference

Essential Skills

• Data platforms: Databricks, Snowflake, BigQuery, Redshift
• Streaming: Apache Kafka, Flink, Spark Streaming
• Transformation: dbt, Apache Spark, SQL
• Orchestration: Apache Airflow, Dagster, Prefect
• Python for data engineering and testing
• BI tools: Power BI, Looker, Tableau
• Data modelling and lakehouse architecture

Experience

5–10 years in data engineering with experience in industrial or manufacturing data environments preferred