Must have

• Snowflake

• SQL

• Apache Airflow

• Azure Data Factory

• Power BI

• Data engineering

• dbt

• Polish (Fluent)

• English (C1)

Nice to have

• Python

Requirements description

• Minimum 5 years of experience in Data Engineering roles
• Expert knowledge of DBT, SQL, and Snowflake
• Hands-on experience with Apache Airflow and Azure Data Factory
• Familiarity with Power BI and data visualization concepts
• Strong grasp of agile data development methodologies
• Be able to deal with multiple projects and deadlines.
• Strong analytical and problem-solving skills with a high attention to detail.
• Strong communication and stakeholder engagement skills
• Fluency in Polish and an advanced level of English (B2/C1)

Offer description

Contract: B2B Location: Remote within Poland Start: ASAP Project: Self-service insurance portal

Key Technologies

• DBT
• SQL
• Snowflake
• Apache Airflow
• Azure Data Factory
• Power BI

Project Overview

As a Senior Data Engineer, you will take ownership of the end-to-end design and implementation of data products and pipelines supporting a high-impact, member-driven ecosystem in the automotive sector.

You will join a cross-functional team that delivers modern, scalable, and secure data solutions, aimed at improving operational efficiency and enhancing the customer experience.

This role offers the opportunity to drive technical innovation, influence data platform architecture, and coach others in best practices across the data lifecycle. You will play a key role in developing a modern data platform in a dynamic and agile environment.

Your responsibilities

1. Design and implement robust, scalable data pipelines and products
2. Ensure resilience, performance, and security in data engineering solutions
3. Guide and mentor team members at various levels of seniority
4. Contribute to the evolution of platform architecture and tooling
5. Collaborate closely with cross-functional teams and stakeholders
6. Promote automation and best practices in data operations

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