Senior Data Engineer

This is a short-term engagement (around 2 months) with potential to extend
Role Overview

We are looking for a hands-on Data Platform Engineer to complete and harden our data ingestion and transformation pipelines. This role is execution-heavy: building reliable ETL, enforcing data quality, wiring orchestration, and making the platform observable, testable, and documented.

You will work with production databases, APIs, Airflow, dlt, dbt, and a cloud data warehouse. The goal is to deliver data that is correct, incremental, tested, and explainable.

Responsibilities:
1. Key Deliverables.
2. Transformation & Analytics (dbt).
3. Data Quality & Testing.
4. Documentation & Enablement.

Required Skills & Experience:
1. Strong experience building production ETL/ELT pipelines.

2. Hands-on experience with dlt (or similar modern ingestion tools).

3. Solid dbt experience (models, tests, docs).

4. Experience with Airflow or similar workflow orchestrators.

5. Strong SQL skills and understanding of data modeling.

6. Experience working with large, incremental datasets.

7. Good knowledge of Python.
8. High English level  - B2+.

Nice to Have

1. Experience with fintech or high-volume transactional data.

2. Familiarity with CI-based data testing.

3. Experience publishing internal data catalogs or documentation portals.

Interview stages:
1. Interview with a recruiter.
2.Tеchnical  Interview.
3. Reference check.
4. Offer.

What We Offer:
Full-time role with flexible hours after probation.
Ongoing training and educational opportunities.
Performance reviews every 6 months.
Competitive salary in USD.
21 paid vacation days.
7 paid sick days (+15 for serious cases like COVID or surgery).
10 floating public holidays.
Online team-building events & fun corporate activities.
Projects across diverse domains (e-commerce, healthcare, fintech, etc.).
Clients from the USA, Canada, and Europe.