Middle Backend Developer – Big Data

Location: Warsaw, Poland
Work model: Hybrid – 1 day in the Warsaw office every 1–2 months
Project: Financial Reporting | SCIB IT

About the Project

We are looking for a Mid-Level Backend Developer – Big Data to join the Financial Reporting team within SCIB IT.

You will contribute to the development of global data solutions supporting regulatory reporting across multiple geographical locations. The team focuses on building scalable, reliable, and efficient data products that improve reporting capabilities, reduce operational risks, and support business needs across the Group.

The team works in an Agile/Scrum environment, with a strong emphasis on collaboration, continuous delivery, and code quality.

Technology stack: Scala, Apache Spark, Python, Java, SQL/HQL, Airflow, Control-M, Jenkins, GitHub, Hive, Databricks, Azure, S3, and Maven.

Key Responsibilities

• Design, develop, and maintain scalable backend and Big Data solutions for regulatory reporting.

• Build and optimize Apache Spark applications, primarily using Scala.

• Develop and maintain end-to-end ETL/ELT pipelines, including data ingestion, transformation, validation, and business logic.

• Integrate data from multiple sources and support API- and microservices-based solutions.

• Collaborate with Product Owners, Architects, Analysts, and development teams across different locations.

• Participate in Agile/Scrum ceremonies and contribute to continuous delivery.

• Ensure high code quality through unit testing, automation, code reviews, and CI/CD practices.

• Document technical solutions and development activities using JIRA, Confluence, and ALM.

• Identify opportunities to improve data processing performance, scalability, and reliability.

Required Skills and Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• At least 3 years of experience in backend development, data engineering, or a similar technical role.

• Hands-on experience with Scala and Apache Spark.

• Strong understanding of ETL/ELT processes and data pipeline development.

• Good knowledge of SQL and experience with databases and Big Data technologies.

• Understanding of APIs, system integration, and microservices.

• Experience with Git/GitHub and CI/CD tools such as Jenkins.

• Good analytical and problem-solving skills.

• English proficiency at B2 level or above.

Nice-to-Have Skills

• Experience with Python or Bash scripting.

• Familiarity with Apache Airflow or Control-M.

• Experience with Databricks, Azure, AWS, Amazon S3, or AWS EMR.

• Knowledge of Docker and Kubernetes.

• Familiarity with code quality and security tools such as SonarQube.

• Experience with HP ALM or similar software lifecycle management tools.

• Previous experience in banking, financial services, or regulatory reporting.

Ideal Candidate

The ideal candidate is a hands-on backend or data engineer with practical experience in Scala, Apache Spark, and ETL/ELT pipelines. Should be comfortable working with large datasets, building reliable data processing solutions, and collaborating within an international Agile team.