Data engineer for advertising and marketing spend

Grid Dynamics; Warszawa; On-site; PLN 150,000 - 210,000; Full time

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 bridge business stakeholders and a landscape of reporting tools, connecting multiple data sources, building ingestion and transformation pipelines on Azure, and consolidating advertising and marketing spend KPIs into a single source of truth.

The ideal candidate has commercial Azure Data Engineer experience, hands-on PySpark and SQL, and practical

Qualifications

• Commercial experience as a Data Engineer on Azure.
• Hands-on PySpark and SQL development.
• Experience designing data pipelines with Azure Data Factory.
• Understanding of Azure services and architecture.
• Excellent communication with business stakeholders and adaptability to evolving requirements.
• Nice to have: DevOpsCI/CD for Azure Data Factory or Databricks.

Responsibilities

• Establish connections to existing reporting tools and data sources.
• Design and build data pipelines in Azure Data Factory for ads data.
• Process, clean and model data in Databricks using PySpark and SQL.
• Consolidate KPIs into a central Master table as the single source of truth.
• Collaborate with business stakeholders to clarify and adapt requirements.

Skills

PySpark

SQL

Azure Data Factory

Databricks

Data pipelines

Stakeholder communication

Tools

Azure Cloud Platform

Azure Data Factory

Databricks

Job description

Описание

We are seeking a Data Engineer to join a newly launched business reporting initiative for a global food and beverage leader with a portfolio of widely recognized consumer brands. In this role, you will work between business stakeholders and a diverse landscape of existing reporting tools, connecting multiple data sources, building ingestion and transformation pipelines on Azure, and consolidating advertising and marketing spend KPIs into a single source of truth.

Задачи

• Establish connections with each of the existing reporting tools and data sources, choosing the right ingestion approach based on each source’s capabilities.
• Design and build data pipelines in Azure Data Factory to bring advertising and marketing expense data onto the platform reliably.
• Process, clean and model data in Databricks using PySpark and SQL to produce consistent, comparable KPIs across sources.
• Consolidate key KPIs into a central Master table that serves as the single source of truth for marketing and advertising expense reporting.
• Work closely with business stakeholders to clarify, refine and adapt to evolving requirements as the project takes shape.

Требования

• 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 ADF.
• General understanding of the Azure platform structure, its major services and how they relate to each other.
• Confident communication with business stakeholders and comfort working in a new project where requirements are not yet fixed.
• Ability to ask the right questions, propose solutions and bring structure to ambiguous tasks.
• Будет плюсом: Experience building CI/CD pipelines for Azure Data Factory;
• Будет плюсом: Experience setting up DevOps pipelines for Databricks workloads

Условия

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office