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. 

 
Apply via Linkedin.

Data Handling: 

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