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Data Engineer

datamaticstechnologies

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.

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.

Requirements

  • 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).

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