Senior Data Engineer
Exciting Opportunities for Tech Talent – Find Your Perfect Role!
The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.
Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?
The product is transforming the way public and private spaces are discovered, reserved, and used across communities – all online and accessible anywhere.
Our team consists of: 1 Tech Lead, 2 Front-End developers, 3 Back-End developers, 1 React-Native developer, 2 UI/UX Designers, 2 QA, 1 AQA, and PM.
– Interview with the Recruiter – up to 30 min.;
– Technical interview – up to 1 hour;
– Interview with the client – up to 1 hour.
Requirements and responsibilities
- 4+ years of experience in Data Engineering or related roles;
- Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
- Solid knowledge of Python for data processing and automation;
- Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
- Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
- Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
- Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
- Demonstrated experience designing and implementing data warehouses and data marts;
- Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
- Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
- A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
- Upper-Intermediate English or higher for effective communication and documentation.
- Proactive – you take ownership and act without waiting for direction;
- Detail-oriented – you deliver accurate, high-quality work;
- Initiative-driven – you’re eager to improve processes and take action.
- Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
- Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
- Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
- Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
- Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
- Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
- Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
- Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
- Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.
We offer
- Flexible full-time/part-time hours
- No micromanagement—time logging is for accounting only
- High-quality equipment (MacBook or your own device)
- Dynamic, low-bureaucracy environment
- Team events, swag, and a great crew to hang with
- 20 days of paid annual vacation;
- 15 days of paid sick leaves;
- Possibility to use vacation during probation;
- Maternity and paternity leave;
- Days off on all government holidays.
- $100 annual education allowance
- Mentorship program—learn or lead
- English lessons with biannual reviews
- Certification cost reimbursement
- Free access to Udemy courses on request
- Social package: medical insurance, sports compensation, or psychological training
- IT Club Loyalty card (Lviv IT Cluster)
- No overtime—work-life balance matters
- Transparent payments in EUR/USD, on time every month
- Assistance with military reservation procedure
Send resume
Nataliya Bahan
Head of Recruitment
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