Data Engineer II - Poland

Are you a developer who loves solving complex problems?

Would you enjoy contributing to the architecture of high-profile security products?

Join our Team!

Akamai is changing the way organizations protect their data centers and clouds from advanced threats. Our team boasts some of the most talented and experienced cyber security data engineering experts. We're always looking for new people to inspire us and make us better.

Be part of making a critical difference

Our Intelligence Engineering team designs solutions that power Akamai's Real-Time Cybersecurity Threat Protection capabilities. You'll play a key role in building a scalable, world-class big data platform that processes internet-scale volumes of data. In this position, you'll work closely with various teams to develop advanced cloud services and environments for our Data Platform,

As a Data Engineer in Test, you will be responsible for:

• Designing and build scalable data pipelines processing internet-scale volumes of security data
• Developing and maintain batch and real-time ETL/ELT workflows using Spark, Kafka, and Delta Lake
• Owning the full lifecycle of data systems: build, deploy, monitor, and optimize production pipelines
• Writing production-grade, tested code with a focus on data quality, reliability, and performance
• Collaborating with Data Science, SecOps, and Analytics teams to translate requirements into scalable data infrastructure
• Optimizing large-scale Spark jobs and implementing Argo-based data orchestration workflows.
• Participating in on-call rotation to ensure system reliability

Do what you love

To be successful in this role you will:

• 4+ years of hands-on Data Engineering experience building production data pipelines at scale
• Have an Advanced proficiency in Apache Spark for large-scale data processing (batch and/or streaming)
• Have good SQL skills and experience with SQL and/or NoSQL databases
• Demonstrate Production experience with streaming technologies (Kafka, RabbitMQ, or SQS)
• Have experience with Python, Scala, or Java (Python )
• Have experience with data modeling, schema design, and ETL/ELT patterns
• Have Hands-on experience with orchestration tools (Airflow, Argo Workflows, or similar)
• Possess with containerization and orchestration (Docker, Kubernetes)

Experience with Spark Streaming or Flink for real-time data processing. Familiarity with ArgoCD for GitOps workflows. Cloud platform experience (AWS, GCP, or Azure). Experience processing security, network, or high-volume event data. Track record of optimizing Spark jobs for performance and cost reduction. Experience building data quality frameworks and monitoring systems

About us

At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.

Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.

At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

FlexBase adapts to your job's needs

Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.

We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

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