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 non-negotiable. With 90+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We’re looking for a Senior Data Platform Engineer to help build reliable, scalable, and automated data solutions.

In this role, you will work with SQL, Java, automation, and CI/CD to improve data quality, streamline integrations, and reduce manual operational work.

Responsibilities

• Automate data quality and reconciliation processes.
• Develop and optimise SQL-based data processing, validation, and monitoring solutions.
• Investigate data issues and implement reliable technical fixes.
• Support Pub/Sub integrations and migration from Azure Pipelines to GitHub Actions.
• Contribute to the onboarding of new applications and data flows.
• Maintain Java-based enterprise applications.
• Collaborate with developers, architects, and business stakeholders.

Requirements

• Strong SQL experience, including query optimisation, data analysis, reconciliation, and troubleshooting.
• Hands-on development experience with Java, Python, or .NET.
• Experience with automation, scripting, and CI/CD pipelines.
• Understanding of data integrations, messaging platforms, and cloud solutions.
• Ability to work independently and take ownership of technical delivery.

Experience with GitHub Actions, Azure DevOps, and Azure Pipelines would be a strong advantage.

Benefits

• Diverse and technically challenging projects;
• Training budget for professional and personal growth;
• Flexible working hours and a hybrid workplace model;
• Flexible schedule and Agile/SCRUM environment;
• Technical equipment that you can choose from:

Salary range - from 5000 EUR to 6500 EUR monthly before taxes.