Senior Spark & Databricks Engineer (Azure, Kafka)

Accenture; Kraków; Hybrid; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Permanent contract or B2B

Training package

Employee Assistance Program

Share Purchase Plan

Referral program

Private medical care and lifeinsurance

MyBenefit + Multisport

Job summary

Accenture is seeking a senior data engineer with 7+ years of experience to design and optimize strategic data pipelines. You will work with Spark, Databricks, PySpark, Python and Java in Azure-based architectures, collaborating with cross-functional teams in a flexible, hybrid setup including remote and onsite work.

You will contribute to DevOps practices, CI/CD, and Kubernetes deployments, while ensuring production stability and clear communication with business stakeholders.

Qualifications

• 7+ years of software/data engineering experience.
• Hands-on experience with Spark, Databricks, PySpark.

Responsibilities

• Design, develop, and optimize strategic data pipelines feeding regulatory/settlement systems.
• Build high-performance, low-latency distributed data processing.
• Develop streaming architectures using Kafka and cloud-native Azure.
• Collaborate with Agile teams to analyze flows and propose solutions.
• Contribute to DevOps, CI/CD pipelines, containers, and Kubernetes deployments.
• Support production stability by investigating and resolving complex issues.
• Communicate technical concepts effectively with stakeholders.
• Drive continuous improvement by tackling challenging technical problems.

Skills

Analytical thinking

Communication

Agile methods

Independent problem solving

Tools

Spark

Databricks

PySpark

Python

Java

Azure

Kubernetes

Kafka

CI/CD

Job description

Accenture is seeking a senior data engineer with 7+ years of experience to design and optimize strategic data pipelines. You will work with Spark, Databricks, PySpark, Python and Java in Azure-based architectures, collaborating with cross-functional teams in a flexible, hybrid setup including remote and onsite work.

You will contribute to DevOps practices, CI/CD, and Kubernetes deployments, while ensuring production stability and clear communication with business stakeholders.