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SME Bank

Senior Data Engineer

SME Bank
Lithuania · Full-time · Mid-Senior

What You Will Do:

  • Lead the design, development, and maintenance of our data warehouse and data architecture to ensure scalability and efficiency.
  • Build and optimize data pipelines and ETL processes to support analytical and operational use cases.
  • Develop data integrations between multiple internal and external systems.
  • Ensure data quality and governance, implementing best practices for validation and monitoring.
  • Work closely with analysts, data scientists, and business teams to provide reliable and accessible data for decision-making.
  • Utilize Google Cloud Platform (GCP), BigQuery, dbt, and Apache Superset to build and enhance our data infrastructure.


What You Need to Succeed:

  • 3+ years of experience as a Data Engineer.
  • Strong knowledge of GCP and BigQuery.
  • Experience with dbt for data transformation and modeling.
  • Proficiency in Python and SQL.
  • Hands-on experience in building and optimizing ETL/ELT pipelines.
  • Familiarity with Apache Superset or other data visualization tools.
  • Knowledge of modern development tools (Jira, Git, Docker, etc.).
  • Strong communication and collaboration skills.
  • Analytical, conceptual, and implementation skills.
  • Experience in the Bank or fintech industry is a plus.


What We Offer:

  • Paid vacation as per the company's time-off policy, with an extra day off on birthday, additional days based on tenure, self-learning time for your development, and a paid trust day annually for personal use.
  • Private health insurance (activated post-trial period).
  • Workplace flexibility.
  • A culture of recognition, with prizes, rewards, paid trips, gifts, and individual/team awards.
  • Branded birthday gifts, financial support for weddings and newborns, along with extra time off. We provide compassionate time off and financial support during challenging times.
  • Company events and activities biannually.


Salary:

Starting from €3,300/month gross, with potential adjustments based on experience.


Data Handling:

Kindly refer to our https://smebank.lt/privatumo-politika/ for comprehensive information regarding our data handling procedures throughout recruitment processes.

Key Skills

Ranked by relevance

data visualization docker apache cloud jira git gcp etl
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Posted
Apr 29, 2025
Type
Full-time
Level
Mid-Senior
Location
Vilnius
Company
SME Bank

Industries

Financial Services

Categories

Information Technology

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