JOB DETAILS

DATA ENGINEER

CompanyBARBORA LT
LocationVilnius
Work ModeOn Site
PostedApril 20, 2026
About The Company
Looking for a fresh and pleasant way to shop for groceries online? BARBORA is a new start-up from Lithuania, which works strategically with the leading supermarket chain MAXIMA. We aim to guarantee quality and freshness of goods by building a reliable and user-friendly web and mobile grocery shopping service, and by carefully examining our clients’ needs. Every item which goes into our clients’ basket is picked with just as much care and attention as if we were going to buy it ourselves. BARBORA delivers groceries to your door by using smart minivans that can provide cool, freezing or room temperatures depending on what the goods require. Our vision is to deliver a perfect e-shopping experience that can easily be used wherever clients are, whether shopping under the table while in a boring meeting, or relaxing at the park. Interested in joining our team of young and motivated e-commerce professionals? Do not hesitate to contact us by sending an email to info@barbora.lt. We look forward to hearing from you!
About the Role

We are looking for a Data Engineer to join our Data Analytics team. If you are looking for a motivating, friendly, but very ambitious environment, this might be a perfect opportunity for you!

WHAT YOU'LL BE DOING:

  • Design, build and support data processing pipelines and data platform.

  • Ensure that code adheres to defined standards and best practices for performance, speed, scalability, and quality.

  • Define the strategy and architecture required to integrate data across multiple systems.

  • Collaborate with data scientists, analytics, and product management and engineering groups to develop new products and features.

  • Work autonomously within a dynamic and supportive team environment, fostering a culture of achievement and problem-solving.

WHAT YOU'LL NEED TO SUCCEED:

  • 3+ years of experience in languages such as Python and SQL.

  • Experience with Amazon Web Services (AWS), Docker and Terraform.

  • In-depth knowledge of data warehousing concepts and technologies (e.g., Amazon Redshift, Google BigQuery).

  • Proficiency in data modeling and skills in data transformation techniques.

  • Expertise in optimizing data processing workflows and query performance.

  • Understanding of data security best practices and regulatory compliance requirements (e.g., GDPR, CCPA).

  • 3+ years of relevant work experience.

YOU ARE SOMEONE WHO:

  • A fast learner with a results-driven approach, eager to embrace new challenges and changes.

  • Proactive, self-motivated, and ready to make a significant impact.

  • Strong English language proficiency, both written and verbal.

  • Exceptional communication and organizational skills, thriving in collaborative environments.

WHAT'S IN IT FOR YOU:

  • Opportunity to accelerate your career by joining the #1 e-commerce grocery company in the Baltics. 🚀

  • Comprehensive coverage via private health insurance.

  • Access to Barbora.lt and partners’ discounts.

  • Your choice of hardware (Mac or Windows) to suit your work style.

  • Hybrid work model.

  • A high degree of collaboration and autonomy, motivated colleagues and access to cutting-edge technologies.

  • Fully equipped kitchen with coffee, cold drinks, and snacks.

  • Company events and team-buildings!

SALARY

 Salary for this position starts from 4300 EUR gross. The final offer depends on your experience.

Key Skills
PythonSQLAmazon Web ServicesDockerTerraformData warehousingAmazon RedshiftGoogle BigQueryData modelingData transformationData processingQuery performance optimizationData securityGDPRCCPA
Categories
Data & AnalyticsTechnologySoftwareEngineeringRetail
Benefits
Private health insuranceDiscounts at Barbora.lt and partnersChoice of hardwareHybrid work modelCompany eventsTeam-building activities
Job Information
📋Core Responsibilities
Design, build, and support data processing pipelines and platforms while ensuring scalability and performance. Collaborate with cross-functional teams including data scientists and product management to integrate data across multiple systems.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
167
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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