Data Engineer

Posted 5 Days Ago
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Warsaw, Warszawa, Mazowieckie, POL
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Build, maintain, and optimize ETL processes, data pipelines, and Teradata data warehouse solutions for banking applications, regulatory reporting, risk, and analytics. Responsibilities include data validation, profiling, reconciliation, performance tuning, data quality, compliance, governance, metadata management, and collaboration with business and technology stakeholders.
Summary Generated by Built In
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).

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
  • 4+ years of experience as a Data Engineer or ETL Developer in banking or financial services
  • Hands-on expertise with Informatica PowerCenter
  • Experience with Teradata, SQL, data warehousing, and performance optimization
  • Understanding of data modeling, star and snowflake schemas, and data warehouse design
  • Knowledge of banking domain data, including customer, transactions, risk, compliance, treasury, and credit data
  • Proficiency in SQL, stored procedures, and performance tuning techniques
  • Strong analytical, problem-solving, and communication skills
  • Ability to work in agile and collaborative environments
  • Experience with cloud data platforms such as AWS, Azure, or GCP
  • Familiarity with data governance, metadata management, and data lineage tools
  • Exposure to Basel III, BCBS 239, or IFRS 9 regulatory frameworks
  • Knowledge of additional ETL tools, BI tools, or scripting languages such as Python or Shell

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

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The Company
HQ: Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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