Senior Data Engineer
The Senior Data Engineer will design and optimise data ingestion, processing and storage pipelines for a banking client, ensuring high performance, reliability and security. They will collaborate with cross‑functional teams to deliver scalable, cloud‑native data architectures that support daily operations and strategic decision‑making.
Skills required
About this role
About Softeta
Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialise in building and modernising backend-heavy, integration-critical systems where speed, accuracy, and reliability are essential. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we deliver custom software, automation, and AI solutions. lienCts such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally.
About the Role
At Softeta, we are looking for a Senior Data Engineer to join a project for our client in the banking sector. You will design and improve systems for data ingestion, processing, storage, and sharing, helping teams access reliable and secure data for their daily operations and business decisions.
Key Responsibilities
- Design, build, and improve data architectures with a focus on performance, scalability, and reliability.
- Develop and maintain ETL/ELT pipelines for data ingestion, transformation, storage, and sharing.
- Integrate data across systems and ensure consistent, reliable synchronization.
- Maintain high standards of data quality, security, and availability, supported by monitoring and alerting.
- Collaborate with analysts, software engineers, and business stakeholders to translate data needs into practical solutions.
- Review code, troubleshoot data workflows, resolve defects, and continuously improve engineering practices.
Requirements
- 5+ years of experience in data engineering or a similar role. Experience in financial services, particularly risk or finance, is a strong advantage.
- Strong SQL and Python skills. Familiarity with additional ETL tools is a plus.
- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
- Data warehousing solutions such as BigQuery or Redshift.
- Experience with Docker and Kubernetes, alongside familiarity with DevOps practices, Terraform, test automation, infrastructure as code, and security best practices.
- Understanding of streaming data pipelines and technologies such as Kafka, Spark, or Flink.
- Familiarity with orchestration or transformation tools such as Airflow or dbt.
- Knowledge of system integration approaches, including real-time, message-based, and event-driven integrations.
Benefits
- Diverse and technically challenging projects.
- Training budget for professional and personal growth.
- Flexible working hours and a hybrid or remote workplace model.
- Flexible schedule and an Agile/SCRUM environment.
- Technical equipment that you can choose.
Salary:
- For employees: 5500 EUR to 7000 EUR monthly (gross).
- For contractors: 40 EUR to 45 EUR per hour (plus VAT).
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