Data Engineer

Job Description

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:

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• Design, build and maintain batch and streaming ETL/ELT pipelines
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• Process and structure unstructured data for analytics and data science
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• Design and maintain data models and data warehouse structures
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• Build and maintain Looker dashboards
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• Monitor pipeline health, data quality, and BigQuery cost & performance
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• Work closely with stakeholders to translate reporting requirements into meaningful datasets and dashboards
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What we're looking for:

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• 3–5 years of relevant Data Engineering experience
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• Strong Data Modelling, ETL, Data Streaming & Data Warehousing skills
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• Strong hands-on experience with Python and SQL/Postgres
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• Experience working with Google Cloud Platform (GCP), particularly:
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• Dataflow
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• BigQuery
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• Cloud Storage
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• Cloud Run
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• Pub/Sub
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• Looker
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• 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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