Senior Spark & Databricks Engineer for Azure Data Platform

Accenture PLC; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

People Lead support for development

Professional development & training

Employee Assistance Program

Employee Share Purchase Plan

Referral program

Private medical care

MyBenefit platform access

Job summary

Accenture PLC is hiring for a Data/Data Engineering role in Kraków to design and optimize a strategic data pipeline, build streaming architectures with Kafka on Azure, and collaborate with Agile teams. The position emphasizes high-availability data processing, DevOps practices, and strong communication with stakeholders.

The role offers flexible work location, a chance to work with a large-scale data platform, and opportunities for continuous learning and professional growth within Accenture's

Qualifications

• 7+ years of software engineering or data engineering experience.
• Extensive hands-on experience with Spark, Databricks, and PySpark.
• Strong development skills in Python and Java.
• Deep experience with Azure Cloud technologies.
• Experience working with Kubernetes, Kafka architectures, and streaming data.
• Experience implementing and maintaining DevOps practices and CI/CD pipelines.
• Strong analytical and problem-solving skills with the ability to work independently on complex technical challenges.
• Excellent communication skills and experience collaborating with business and technology stakeholders in Agile environments.

Responsibilities

• Design, develop, and enhance a strategic data pipeline that feeds and reconciles inbound data from deal stores to regulatory and settlement systems.
• Build and optimize high-performance, high-availability, low-latency distributed data processing solutions.
• Develop and maintain streaming architectures leveraging Kafka and cloud-native services within Azure.
• Collaborate with cross-functional Agile teams to analyze complex technical flows, identify improvements, and propose effective technical solutions.
• Contribute to DevOps practices, CI/CD pipelines, containerized deployments, and Kubernetes-based environments.
• Support production stability, including investigation and resolution of complex technical issues.
• Communicate technical and non-technical concepts effectively to business and technology stakeholders.
• Drive continuous improvement by independently solving challenging technical problems and enhancing existing platforms.

Skills

Spark

Databricks

PySpark

Python

Java

Azure

Kubernetes

Kafka

CI/CD

DevOps

Agile

Communication

Job description

Accenture PLC is hiring for a Data/Data Engineering role in Kraków to design and optimize a strategic data pipeline, build streaming architectures with Kafka on Azure, and collaborate with Agile teams. The position emphasizes high-availability data processing, DevOps practices, and strong communication with stakeholders.

The role offers flexible work location, a chance to work with a large-scale data platform, and opportunities for continuous learning and professional growth within Accenture's