Data Engineer

About Us

At Argyle, we’re a team of tech enthusiasts building smart, scalable data solutions. We believe in cutting-edge technology, collaboration, and GREAT WLB. As we expand, we’re looking for a Data Engineer to help shape our data infrastructure, optimize workflows, and work with AI-driven technologies

What You’ll Do

Integrate multiple data sources into a unified, high-performance system.

Build and maintain scalable data pipelines and ETL processes.

Optimize cloud storage (AWS/GCP/Azure) for efficiency and security.

Set up search & indexing solutions (Elasticsearch, Solr).

Collaborate with AI/ML teams to power data-driven insights.

What You Bring

 3+ years in Data Engineering.

 Strong coding skills in Python/Java/Scala.

Hands-on experience with ETL pipelines (NiFi, Talend, AWS Glue).

 Experience with cloud-based data platforms (AWS/GCP/Azure).

Familiarity with big data frameworks (Spark, Hadoop).

Knowledge of data security & governance best practices.

Collaborate with AI/ML teams to power data-driven insights

Nice to Have

Experience with AI/ML integration.

Familiarity with Docker/Kubernetes.

NoSQL databases (MongoDB, Cassandra).

Want to build something impactful with a great team? Let’s talk!

Send your CV to [email protected]