Big Data Developer - Krakow Poland - Careers | Infosys English English French Portuguese Spanish Careers Explore Opportunities Explore Life At Infy Apply now Recruitment fraud alert Explore Opportunities Graduates Experienced Professionals Students/Internships Explore Opportunities by Location Explore Life At Infy About Us Our Culture Voices Infosys Careers Explore Opportunities Jobs in Poland Big Data Developer Big Data Developer Apply now Apply now You have successfully copied the job share URL to clipboard! × Job details Work Location Krakow, Warsaw, PL, Wroclaw, PL State / Region / Province Dolnoslaskie, Krakow, Warsaw Country Poland Domain Consulting Interest Group Infosys Limited Company ITL Poland Requisition ID 139845BR Job description Position: Data EngineerLocation: Krakow,Wroclaw,WarsawType of work: Hybrid (2-3 days per week in office)- obligatoryContract: only contract of employmentSalaries: base+ financial bonusPlease note: for this role we can not consider candidates who require company support to legally live and work in PolandThe Role You’ll be a senior contributor in our Data Engineering team, working across various projects, building out key elements of our data platform using a range of modern tools including Snowflake, dbt, and Airflow. You’ll help us minimise our cloud costs, drive best practices across all our Data Disciplines and scale and automate our data governance. What you’ll be working on: Working in a multi-disciplinary data engineering team, you will:Support the building of robust data models downstream of backend services (mostly in Snowflake) that support internal reporting, financial and regulatory use cases.Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata, and testing standards.Set standards and ways of working with data across VXBS, working collaboratively with others to make it happen.Take established best practices and standards defined by the team and apply them within other areas of the business.Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.Contribute to prioritisation of data governance issues. You should Apply ifYou have experience and a passion for Data Modelling, ETL projects, and Big Data as a developer or engineerYou have good experience in Python, Java or similar languagesYou have proven experience with AWSSQL and data modelling is second nature to youYou are comfortable with general Data Warehousing conceptsYou strive for improvement in your work and that of others, proactively identifying issues and opportunitiesYou have experience building robust and reliable data sets requiring a high level of controlYou have experience working with IaC tools such as Terraform, AWS CloudFormation, or AnsibleNice to have:Any experience working within a finance function or knowledge of accounting.Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).Knowledge of regulatory reporting and treasury operations in retail bankingHave previously used dbt, Databricks, or similar toolingExperience working with orchestration frameworks such as Airflow/PrefectDesign and implementation knowledge of stream processing frameworks like Flink, Spark Streaming etc.Used to AGILE ways of working (Kanban, Scrum) Apply now Share Company Navigate your next About us Careers Corporate Responsibility Investors Newsroom Alumni Subsidiaries EdgeVerve Systems Infosys BPM Infosys Consulting Infosys Public Services Programs Infosys Foundation Infosys Foundation USA Infosys Science Foundation Infosys Leadership Institute Support Terms of Use Privacy Statement Cookie Policy Safe Harbour Provision Trademarks Site Map Modern Slavery Statement Payment Guide for Suppliers Privacy Notice EMEA Connect with us Copyright © 2025 Infosys Limited Select Country/region Australia Austria Belgium Brazil Bulgaria Canada Chile China Costa Rica Croatia Czech Denmark Estonia Finland France Germany Hong Kong Hungary India Ireland Italy Japan Liechtenstein Latvia Lithuania Luxembourg Malaysia Mauritius Mexico New Zealand Norway Peru Philippines Poland Portugal Romania Russia Singapore Slovakia Slovenia South Africa South Korea Spain Sweden Switzerland Taiwan The Netherlands United Arab Emirates United Kingdom (UK) United States