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dataroles

Data Engineer

Datamatics Technologies datamaticstechnologies.com Open
Warsaw Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Datamatics Technologies. Warsaw · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationWarsaw
EmploymentFull-time
PostedOct 5, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune Informatica PowerCenter pipelines that feed banking applications, regulatory reports and analytics
  • Use Teradata to shape warehouse data and improve query and database performance
  • Gather needs from business and technology colleagues, then deliver data solutions that meet them
  • Check and reconcile data across banking systems while supporting quality, security and regulatory compliance
  • Improve existing ETL flows and contribute to governance, metadata and stewardship work

What you bring

  • At least four years as a data engineer or ETL developer in banking or financial services
  • Hands-on Informatica PowerCenter experience and working knowledge of Teradata, including SQL and warehouse tuning
  • A computer science, information systems or related degree at bachelor’s or master’s level
  • Understanding of warehouse design, data modeling and star or snowflake schemas

Who this fits

This role suits a mid-level data engineer with banking or financial-services experience and a focus on ETL, Teradata and warehouse work. The listing places the role in Stockholm.

From the employer

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).
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.