Remote Data Engineer: Lakehouse Pipelines & Data Mesh

OLX; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Permanent contract

Annual bonus up to 15%

Private medical care

Conference budget

Mybenefit package 330 points per month

100% remote work

Job summary

OLX is hiring a mid-level Data Engineer to join a cross-functional, multilingual data team spanning Portugal, Poland and Spain. You will build and optimize data pipelines, promote data as a product, and enable scalable analytics across OLX's marketplaces.

You will leverage Medallion architecture, work with Redshift, Spark, Trino, Iceberg and Airflow, and collaborate closely with product managers, engineers and data scientists to deliver end-to-end data solutions.

Qualifications

• 2+ years of experience building complex data pipelines and working with both technical and business stakeholders.
• Master of SQL language regardless of the underlying data technology; writes efficient, readable SQL.
• Experience with cloud data technologies (AWS, GCP, or Azure Cloud).
• Familiarity with Medallion architecture and data mesh principles.

Responsibilities

• Enable efficient consumption of domain data as a product by delivering actionable datasets and data models.
• Build, maintain, and improve data pipelines using a broad range of technologies.
• Collaborate with product teams to integrate data into end products and improve data quality.

Skills

SQL

Python

Data pipelines

Cloud data technologies

English

Data mesh

Medallion architecture

Big data

Data quality

Tools

Redshift

Spark

Trino

Iceberg

Airflow

AWS

GCP

Azure

Job description

OLX is hiring a mid-level Data Engineer to join a cross-functional, multilingual data team spanning Portugal, Poland and Spain. You will build and optimize data pipelines, promote data as a product, and enable scalable analytics across OLX's marketplaces.

You will leverage Medallion architecture, work with Redshift, Spark, Trino, Iceberg and Airflow, and collaborate closely with product managers, engineers and data scientists to deliver end-to-end data solutions.