Data Analyst

Join us, and transform ideas into high-performance digital platforms!

Krakow-based opportunity with the possibility to work 60% remotely!

As a Data Analyst, you will be working for our client, a renowned global financial institution leading the way in data engineering and digital transformation. In this role, you will play a pivotal part in building, optimizing, and scaling high-performance data pipelines and applications. By leveraging your experience in data processing, integration, and emerging technologies, you will support large-scale projects that transform data management frameworks, enhance business insights, and shape data-driven decision-making across the organization.

Your main responsibilities:

• Designing and implementing data products that meet complex, large-scale needs
• Analyzing data sources, performing profiling, and synthesizing findings for stakeholders
• Collaborating to enhance data integration processes and ensure resilience and scalability
• Building and optimizing data pipelines using Hadoop, PySpark, and Hive
• Developing data models across multiple domains and applying industry standards
• Ensuring high-quality metadata management for improved accessibility and usage
• Monitoring and resolving issues within data products and services proactively
• Applying programming standards to code, test, and document software efficiently
• Reviewing specifications to identify risks and testing conditions for robust outcomes
• Advising on emerging data technologies and their impact on data tools and solutions

You’re ideal for this role if you have:

• Proven experience in data analysis, profiling, and synthesis for technical and non-technical audiences
• Proficiency in building data integration processes and managing large data sets
• Strong skills in designing resilient data models and integration solutions
• Practical expertise with Hadoop ecosystem, PySpark, Scala, and Hive
• Familiarity with CI/CD practices and data pipeline management
• Background in metadata management, from design to documentation
• Experience in resolving issues within databases and data engineering environments
• Technical understanding of data engineering and programming fundamentals
• Ability to conduct thorough testing and report analysis with attention to risk
• Effective communication skills with diverse technical teams

It is a strong plus if you have:

• Knowledge of Java SpringBoot, BigQuery, or DataProc frameworks
• Hands-on experience with Airflow for data pipeline orchestration
• Exposure to DevOps practices and automated deployment strategies
• Experience in managing large-scale data systems in financial or regulated industries

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6038