Cloud Data Engineer AI & Analytics

Job Title: Cloud Data Engineer of AI & Analytics
Location: Remote
Type: Contract

Do you love turning raw data into smart systems that fuel decisions? This role is your next step.

Why This Role is a Career Move — Not Just a Technical Job

We're building more than pipelines we’re building the future of decision-making.

As a Cloud Data Engineer, you'll play a key role in connecting cloud-scale data flows to real-world business outcomes. This isn't just a job writing ETL it’s a career-making opportunity to lead engineering that powers AI, analytics, and digital transformation.

You'll architect solutions across platforms like Snowflake, Azure, Databricks, and AWS, working on complex, high-impact data products that matter.

What You’ll Grow Into

This role is a launchpad for technical leadership.

You’ll sharpen your skills in CI/CD, DataOps, and test automation, while working alongside architects, analysts, and data scientists on strategic programs. You’ll be encouraged to own your pipelines, improve performance, and introduce automation, AI, or ML-based enhancements.

Whether you’re aiming for a future in cloud architecture, ML engineering, or platform leadership this is how you get there.

What Makes This Role Different

• You won’t just move data — you’ll design cloud-native systems that scale.
• You’ll use modern and legacy tools (Fivetran, DBT, Informatica, PySpark, Qlik Replicate) to solve real integration challenges.
• You’ll have direct impact on analytics, forecasting, and AI readiness not just infrastructure.
• You’ll be part of a cross-functional team that values engineering excellence and business impact equally.

You’ll Be a Great Fit If You…

• Have 3+ years of hands-on experience in cloud data engineering
• Can work in Azure, AWS, GCP, Snowflake, or Databricks (one or more)
• Know your way around Python, PySpark, or Scala
• Have worked with ETL or data integration tools like Fivetran, Talend, Informatica, or DBT
• Enjoy building CI/CD pipelines and automating delivery workflows
• Want to solve real data problems not build yet another pipeline that no one uses

Bonus: Be Part of the Automation & AI Movement

You’ll also be tasked with exploring how AI and automation can improve your own workflows from anomaly detection to AI-enhanced quality checks. You won’t just support AI… you’ll engineer the systems that make it possible.

Ready to stop wrangling broken data jobs and start building smart, scalable systems?

Let’s talk. Apply now or connect with our team to explore if this role is right for your next big move.