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.