Data Engineer
# Data Engineer **Datamatics Global Services Ltd** · 111 20 Stockholm · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role About the Role We are seeking an experienced Data Engineer to join a leading banking technology team in Stockholm. The ideal candidate will have a strong background in Informatica PowerCenter and Teradata , with proven experience in the banking or financial services sector . You will be responsible for building, maintaining, and optimizing data pipelines and solutions that support critical banking applications, regulatory reporting, and analytics initiatives. Key Responsibilities - Design, develop, and optimize ETL processes and data pipelines using Informatica PowerCenter . - Work with Teradata for data warehousing, modeling, and performance tuning. - Collaborate with business stakeholders and technology teams to gather requirements and deliver robust data solutions. - Ensure data quality, security, and compliance with banking and financial regulations . - Support regulatory reporting, risk, and financial analytics through high-quality data engineering solutions. - Perform data validation, profiling, and reconciliation across multiple banking systems. - Troubleshoot, optimize, and enhance existing ETL workflows and database performance. - Contribute to data governance, metadata management, and data stewardship initiatives within the bank. Required Skills & Experience - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field . - 4+ years of experience as a Data Engineer / ETL Developer in the banking or financial services domain . - Strong hands-on expertise with Informatica PowerCenter (ETL) . - Experience with Teradata (SQL, data warehousing, performance optimization) . - Solid understanding of data modeling, star/snowflake schemas, and data warehouse design . - Knowledge of banking domain data (e.g., customer, transactions, risk, compliance, treasury, credit). - Proficiency in SQL, stored procedures, and performance tuning techniques . - Strong analytical, problem-solving, and communication skills. - Ability to work in agile / collaborative environments . Preferred Skills - Experience with cloud data platforms (AWS, Azure, GCP). - Familiarity with data governance, metadata management, and data lineage tools . - Exposure to regulatory frameworks (e.g., Basel III, BCBS 239, IFRS 9). - Knowledge of additional ETL tools, BI tools, or scripting languages (Python, Shell). okmFr69IrF
Наблюдалась 2026-10-07, впервые 2026-10-05, источник — Indeed.