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.

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