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Data Engineer at Experis Polska – Wrocław | Jobyssey

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Data Engineer

Data Engineer

Experis Polska · Wrocław, Polish · 3 months ago

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Category: Data engineering

agile api azure azure-data-factory ci-cd data-governance data-lake data-modeling databricks etl git jest json powerbi python qlik

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Data Engineer

Location: hybrid, 2-3 days per week in the Wrocław office Salary: 130 PLN/h B2B

This role is hands-on, highly collaborative, and ideal for someone who enjoys turning complex data challenges into reliable, production-grade solutions.

Offer:

Multisport Card
Life insurance
Private healthcare
PowerYou platform

Opis Firmy

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie.

Required Skills & Qualifications:

Strong expertise in Azure Databricks, Python, and Spark (must-have).
Solid experience with Azure Data Services, such as:Azure Data Lake and Azure Data Factory
Experience in ingestion tools like: Qlik Recplicate / MQ / MQCC
Experience with API development (REST/JSON or equivalent).
Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
Familiarity with CI/CD pipelines and version control (Git, etc.).
Strong problem‑solving skills and structured way of working within an agile delivery model.
Excellent communication and collaboration skills - you enjoy interacting with business stakeholders and cross-functional teams.

Nice-to-Have Skills

Experience with big data processing and performance tuning in Spark.
Knowledge of data governance, lineage, and security best practices.
Exposure to Power BI or similar visualization tools.