Test Data Engineer

Location: Vilnius, Vilnius City Municipality, Lithuania

Workplace: hybrid

Description

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 100+ 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. Clients such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally.

We are currently seeking a Test Data Engineer to join our dynamic team. If you have a passion for QA, data analysis and an interest in the financial industry, this position offers a unique chance to advance your career while contributing to innovative banking solutions.

Responsibilities:

• Validating data accuracy, completeness, and consistency across source and target systems.
• Deep-diving into data transformations, mappings, and complex business logic to ensure nothing is lost in translation.
• Stress-testing ETL/ELT processes from ingestion to output.
• Crafting and maintaining comprehensive test strategies, plans, and detailed test cases.
• Playing a key role in establishing data products and integrating them into our marketplace and reporting suites.
• Proactively engaging with Data Engineers and Product Owners to ensure requirements are understood, and quality is "baked in" from the start.

Requirements

• Advanced proficiency in SQL, including the capability to create complex queries for data validation and analysis.
• Demonstrated experience in testing business processes from a data-centric viewpoint.
• Skilled in data analysis with the ability to interpret data, detect patterns, and identify inconsistencies.
• Practical experience in managing testing tasks using Jira.
• Experience in the Custody, Securities, or Financial Services sectors is considered an advantage.
• Familiarity with cloud platforms such as GCP, Azure, or AWS is a plus.
• The capability to develop and maintain automated tests based on SQL is also regarded as beneficial.

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.

Salary range:

• from 3500 EUR to 5000 EUR monthly before taxes;
• from 30 EUR/H to 35 EUR/H plus VAT for contractors.