Offer summary

Qualifications:

Over 5 years of experience in Data or Analytics Engineering., Proficiency in building and maintaining data pipelines using BigQuery, Glue, Athena, and Airflow., Strong Python skills for data processing and workflow orchestration., Advanced SQL skills with experience in designing dimensional models like star and snowflake..

Key responsibilities:

Build and maintain reliable data pipelines to ensure data quality.

Transform raw data into structured, scalable data models.

Collaborate with stakeholders to understand data requirements and deliver solutions.

Implement and uphold data governance, security, and privacy standards.

Job description

About the project:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support in this way. As a Data& Analytics Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

5+ years of experience in Data Engineering or Analytics Engineering roles

Strong experience building and maintaining pipelines in BigQuery, Glue, Athena, and Airflow

Solid Python skills, especially for data processing and workflow orchestration

Advanced SQL skills and experience designing dimensional models (starsnowflake)

Familiarity with data quality tools like Great Expectations

Understanding of data governance, privacy, and security principles

Experience working with large datasets and optimizing performance

Proactive problem solver who enjoys building scalable, reliable solutions

English UpperIntermediate+

Responsibilities:

Build and maintain robust data pipelines that deliver clean and timely data

Organize and transform raw data into wellstructured, scalable models

Ensure data quality and consistency through validation frameworks like Great Expectations

Work with cloudbased tools like Athena and Glue to manage datasets across different domains

Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions

Help set and enforce data governance, security, and privacy standards

Continuously improve the performance and reliability of data workflows

Support the integration of modern cloud tools into the broader data platform

We offer*:

Flexible working format remote, officebased or flexible

A competitive salary and good compensation package

Personalized career growth

Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

Active tech communities with regular knowledge sharing

Education reimbursement

Memorable anniversary presents

Corporate events and team buildings

Other locationspecific benefits

*not applicable for freelancers