Senior Data Platform Engineer

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 aSenior 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.

• 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 withGitHub Actions, Azure DevOps, and Azure Pipelines would be a strong advantage.

• 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.