Senior Data Engineer (cloud&ai)

Data Engineer – Cloud & AI Platforms

We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products.

What You’ll Do

• Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)

• Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources)

• Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs

• Optimize performance and cost using Spark and cloud-native best practices

• Implement data governance, privacy, lineage, and access controls

• Build automated validation, monitoring, and data quality frameworks

• Evaluate emerging GenAI and data tooling to enhance platform capabilities

What You Bring

• 3+ years of experience in data engineering

• Strong Python and experience with Spark or Scala

• Proven experience building distributed pipelines in cloud environments

• Solid understanding of data modeling, architecture, and warehousing principles

• Innovative problem-solving mindset

• Bachelor’s or Master’s degree in Computer Science or Engineering

Nice to have: Experience with graph databases.