Senior Data Engineer (Lithuania)

Our client, a UK-based digital bank, delivers innovative and accessible financial solutions for today's consumers. Known for its user-friendly platform and customer-centered approach, it helps people manage finances with ease and transparency. Recent expansions into flexible payment options and new services strengthen its role as the UK's digital banking sector leader. We are looking for a specialist based in Lithuania to join our team.

We are supporting a key data engineering initiative aimed at building a secure and scalable AWS-based environment for processing Personally Identifiable Information (PII). The project will enable ingestion and transformation of sensitive data to support regulatory, analytical, and operational use cases.

• Design and build robust data pipelines to ingest and transform PII data from internal sources (Kafka, Aurora, MS SQL, S3)
• Operate within a secure AWS environment, strictly following internal data security policies and access controls
• Collaborate with engineering and compliance teams to ensure regulatory and security standards are met
• Write production-ready, testable code with automated deployment practices
• Contribute to documentation, knowledge sharing, and implementation support

• Strong proficiency in Python, PySpark, and SQL
• Experience with CI/CD workflows and version control systems (e.g., Git)
• Proven experience in designing and delivering data pipelines that handle sensitive or regulated data in cloud environments
• Hands-on experience with AWS services such as Glue and Airflow for ETL/ELT orchestration
• Familiarity with Amazon Redshift and SageMaker Studio for analytical workloads
• Knowledge of Terraform or other Infrastructure-as-Code tools
• Experience with DBT and implementing data quality testing

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com