Data Engineer

We’re Hiring: Data Engineer | Mid-Level We’re looking for a Data Engineer with 3–5 years of experience to join our team and help build an end-to-end data pipeline and storage solution. This is a great opportunity for someone who enjoys working hands-on with data — building scalable pipelines, transforming unstructured data into analytics-ready datasets, and creating the data foundations that support both business analytics and data science . What you’ll be working on: • Design, build and maintain batch and streaming ETL/ELT pipelines • Process and structure unstructured data for analytics and data science • Design and maintain data models and data warehouse structures • Build and maintain Looker dashboards • Monitor pipeline health, data quality, and BigQuery cost & performance • Work closely with stakeholders to translate reporting requirements into meaningful datasets and dashboards What we’re looking for: • 3–5 years of relevant Data Engineering experience • Strong Data Modelling, ETL, Data Streaming & Data Warehousing skills • Strong hands-on experience with Python and SQL/Postgres • Experience working with Google Cloud Platform (GCP) , particularly: – Dataflow – BigQuery – Cloud Storage – Cloud Run – Pub/Sub – Looker • Experience with Apache Hadoop or Spark would be an added advantage If you enjoy solving complex data problems and want to work on building a strong, scalable data foundation from the ground up, we’d love to hear from you. Interested? Apply through LinkedIn or reach out to us to learn more. Hiring DataEngineer DataEngineering GCP BigQuery Python ETL DataAnalytics Looker GoogleCloud TechJobs