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Salary
$75k – $121k per year (Estimated)
Location
In office (Warsaw)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Emagine is a pan-European business and technology consultancy specializing in high-end IT consulting and business transformation. Headquartered in Denmark, the company provides expert advice, managed teams, and managed services to enterprise clients in industries such as banking, finance, and telecommunications.

General info:

Model of work: hybrid (3 days work from office in Warsaw/ optionally Gdańsk)

Type of contract: B2B, long-term cooperation

Rate: 180 PLN netto + vat/ hour

Introduction & Summary

We are seeking a Senior Data Engineer. This role requires a strong background in data engineering and data warehousing, ensuring the design and delivery of production-ready data solutions that effectively support business needs. The ideal candidate will take end-to-end ownership of data models and pipelines, contributing to the modernization of our systems while advocating best practices in software engineering.

Main Responsibilities

As a Senior Data Engineer, your key responsibilities include:

  • Support the foundational phase of our new data engineering team, converting business problems into data solutions.

  • Design and build data models and pipelines ownership.

  • Drive modernization from fragmented local systems to a unified solution.

  • Communicate effectively with business stakeholders to ensure alignment throughout development.

  • Set high delivery standards focusing on quality, reliability, and maintainability.

  • Implement AI-assisted practices to boost productivity.

Key Requirements

  • Strong experience in data engineering and data warehousing.

  • Ability to design data warehouse solutions prioritizing simplicity and maintainability.

  • Hands-on experience with Snowflake, DBT, and Airflow.

  • Comfortable taking ownership from requirements to production.

  • Eager to understand and solve business domain problems.

  • Solid experience with CI/CD and pipeline orchestration.

  • Very good English (daily communication in English, multicultural environment)

Nice to Have

  • Familiarity with AI tools that enhance engineering productivity.

  • Experience in implementing modern engineering practices.

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