Data Engineer

About the role

We are creating next‑generation data solutions that enable low‑code/no‑code platforms, allowing customers to deliver quickly while abstracting engineering complexity. As a Data Engineer you will design, build, and maintain scalable, real‑time data pipelines that power these platforms.

Key responsibilities

• Develop cloud‑native, high‑performance data solutions on Google Cloud Platform.
• Design and implement data pipelines using Spark, Python, Airflow/Composer, and DBT/Dataform.
• Manage and optimise BigQuery datasets and SQL queries for large‑scale analytics.
• Integrate data governance tools such as Dataplex and, when needed, Databricks.
• Collaborate with product and engineering teams to translate requirements into robust data architectures.

Required profile

• 3+ years of experience building cloud‑scalable, real‑time data solutions.
• Proven track record on Big Data projects, preferably on GCP.
• Strong coding practices and solid architectural design skills.
• Team‑player attitude with a positive, innovative mindset.

Required skills

• Google Cloud Platform (BigQuery, Dataplex, Composer)
• Spark
• Python
• Airflow / Composer
• Dataform / DBT
• Advanced SQL
• Databricks (advantage)
• AI/GenAI/ML/MLOps/LLM concepts (advantage)