Odpovědnosti

Původní popisek.

Collaborate with business stakeholders to understand analytical needs and define data requirements.
Lead workshops and discovery sessions with business users.
Translate business requirements into data models, ETL/ELT processes, and technical specifications.
Design and develop scalable data pipelines using Databricks, PySpark, Azure, and SQL.
Build and optimize batch and near real-time data processing solutions.
Design and maintain Lakehouse architectures.

Ukázat vše (12)

O pozici / o projektu

Původní popisek.

About the Role

We are looking for an experienced Data & Analytics Consultant who can bridge the gap between business and technology.

This is not a typical Data Engineer position. We are seeking someone who combines strong technical expertise in modern data platforms with the ability to understand business processes, challenge requirements, facilitate workshops, and translate business needs into scalable analytical solutions.

You will work closely with business stakeholders, analysts, and technical teams to design data models, build data pipelines, define KPIs, and deliver trusted data products that support decision-making.

What We Offer

Long-term projects with modern Azure Data Platform technologies.
Opportunity to shape data products and business decisions.
High level of autonomy and influence.
Collaboration with experienced technical and business teams.
Flexible working model.

Detail pracovní nabídky

Online nábor
Ihned
Práce plně na dálku
Flexibilní pracovní doba

Výhody

Sportovní balíček
Rozpočet na školení
Soukromá zdravotní péče
Malé týmy
Mezinárodní projekty

Data & Analytics Consultant (Databricks / Azure) @ Appstronauts

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