Software Engineer (Spark, Databricks)

At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with technology partners including Microsoft, AWS, Google, Oracle, and Snowflake to implement modern data solutions. We provide support from strategy definition through implementation and development, covering all aspects of Data & Analytics.

THE WORK:

• 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.

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

• Permanent employment contract or B2B.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

• 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.
• Proficiency in Spark
• Experience with Databricks
• Senior-level engineering expertise

BONUS POINTS IF YOU HAVE:

• Experience providing Level 3 (Development) support in a high-pressure production environment.
• Experience working with large-scale transaction-oriented distributed systems.
• Experience in regulatory, settlement, or financial services data-processing environments.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.