Data Engineer

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SeniorZdalnie·WarszawaFull-time·B2B

#473423·Dodano wczoraj·2

Źródło: justjoin.it

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Tech Stack / Keywords

Snowflake DatabricksMicrosoft FabricPower BIAzure Terraform

Podsumowanie oferty

Senior Data Engineer responsible for the engineering side of client engagements, from architecture to running data pipelines. Build production data platforms on Snowflake, Databricks and/or Microsoft Fabric, including solutions for analytics and Power BI. The role supports clients in regulated industries.

Wymagania

Technology requirements:

Hands-on production experience with Snowflake, including warehouse design, ELT, performance and cost tuning, and security.
Hands-on project experience with Databricks or Microsoft Fabric.
Use AI tools in engineering work every day, or be clearly willing to do so from day one; be able to control AI-led code delivery.
Strong SQL proficiency and Python programming experience.
Understanding of the data technology ecosystem and SDLC in programming and/or data delivery.
Knowledge or experience delivering using Agile methodology.

General requirements:

5+ years building production data pipelines and data platforms.
Solid knowledge of data warehousing, including star schemas, medallion architecture, ETL and ELT.
Ability to design scalable architectures for analytics and BI workloads.
Fluent English communication and confidence in client-facing work.
Solution delivery mindset and data solution architecture experience.
Strong ownership and accountability for output quality, including AI-generated work; architecture-minded approach to AI-led delivery; mentoring and communication skills; pragmatic, solution-oriented approach; comfort operating in fast-growing, dynamic environments.

Nice to have:

Experience with both Databricks and Microsoft Fabric.
Azure, Terraform and dbt.
SnowPro, Databricks or DP-700 certifications.

Obowiązki

Design and build scalable data pipelines and platforms on Snowflake, Databricks or Microsoft Fabric.
Model data for analytics and BI using star schemas, medallion architecture and semantic layers for Power BI.
Own quality, performance and cost, including CI/CD, infrastructure as code, testing and documentation.
Use AI assistants to write and review code, generate tests and document solutions, checking every output.
Work with Power BI developers, analysts and business stakeholders, and mentor other engineers.

Benefity

Paid time off.
Education budget for training and certifications.

Płatny urlop

Dofinansowanie szkoleń

Inne informacje

Part of the working day must overlap with US business hours, usually involving some afternoon or early-evening meetings (CET); the rest of the day is flexible.
The interview includes questions about current AI use and how AI-generated code is validated.

Formula5

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