Data Engineer

Posted Yesterday
Be an Early Applicant
Rīga
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
The Data Engineer will design and optimize ETL processes, manage data pipelines, ensure data quality, and support financial analytics in banking applications.
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).

Top Skills

AWS
Azure
GCP
Informatica Powercenter
SQL
Teradata
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
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.

Similar Jobs

Ignitis Group Logo Ignitis Group

Data Engineer

Utilities • Renewable Energy
In-Office
Rīga, LVA
1628 Employees
Easy Apply
In-Office
Rīga, LVA
8727 Employees
Easy Apply
In-Office or Remote
Rīga, LVA
96 Employees

Accenture Logo Accenture

Data Engineer

Information Technology
In-Office
Rīga, LVA
456553 Employees
3K-5K Annually

Similar Companies Hiring

PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account