Azure Data Engineer: Pipelines & KPI Mastery

Grid Dynamics; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Sports

Corporate events

Professional development

Flexible schedule

Well-equipped office

Job summary

Grid Dynamics is seeking a Data Engineer to join a newly launched business reporting initiative for a global food and beverage leader. You will connect multiple data sources, build ingestion and transformation pipelines on Azure, and consolidate advertising and marketing spend KPIs into a single source of truth.

You will work between business stakeholders and data teams, design and operate Data Factory pipelines, and use Databricks with PySpark and SQL to produce reliable, comparable KPIs.

Qualifications

• Commercial experience as a Data Engineer on the Azure platform.
• Hands-on experience building data processing logic with PySpark and SQL.
• Practical experience designing and orchestrating data pipelines in Azure Data Factory.
• General understanding of the Azure platform structure and its major services.
• Strong communication with business stakeholders and comfort in evolving requirements.
• Proactive mindset: ask questions, propose solutions and bring order to ambiguous tasks.

Responsibilities

• Source Integration: connect existing reporting tools and data sources.
• Pipeline Development: build data pipelines in Azure Data Factory for advertising/marketing expenses.
• Data Transformation: process, clean and model data in Databricks using PySpark and SQL.
• Master Table Ownership: consolidate KPIs into a central Master table as single source of truth.
• Requirements Shaping: work with stakeholders to clarify and adapt requirements.

Skills

Stakeholder communication

Proactive mindset

Tools

Azure Data Factory

Databricks

PySpark

SQL

Job description

Grid Dynamics is seeking a Data Engineer to join a newly launched business reporting initiative for a global food and beverage leader. You will connect multiple data sources, build ingestion and transformation pipelines on Azure, and consolidate advertising and marketing spend KPIs into a single source of truth.

You will work between business stakeholders and data teams, design and operate Data Factory pipelines, and use Databricks with PySpark and SQL to produce reliable, comparable KPIs.