Azure Databricks Engineer

Experis ManpowerGroup Sp. z o.o.; Remote; PLN 180,000 - 240,000; Full time

Job summary

An innovative tech firm is looking for a motivated Data Engineer to join their dynamic team. The role focuses on building scalable data solutions and requires a strong foundation in data engineering principles, including a minimum of 4 years experience. Successful candidates will collaborate with cross-functional teams to design and maintain robust data pipelines. Skills in SQL and Databricks are essential. The role offers remote work, a competitive rate, and various benefits, including private medical care and a multisport card.

Benefits

Private medical care (Medicover)

Multisport card

Access to an e-learning platform

Group life insurance

Qualifications

• Minimum 4 years of experience in Data Engineering.
• Standard proficiency in Databricks.
• Advanced SQL skills required.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and maintain data pipelines.
• Support business intelligence and analytics initiatives.

Skills

Databricks

Azure DevOps

SQL

Data Engineering Knowledge

Python

PySpark

Azure Services for Data Engineering

Analytical Skills

Data Engineering Mindset

Job description

Location: Remote
Rate:150 - 160PLN/h + VAT
Start Date: ASAP / up to 30 days / flexible
Contract Type: B2B via Experis

Job Description

We are looking for a motivated and skilled Data Engineer to join our dynamic team. This role is perfect for someone with a strong foundation in data engineering principles and a passion for building scalable data solutions. You will collaborate with cross-functional teams to design, develop, and maintain robust data pipelines and models that support our business intelligence and analytics initiatives.

Required Skills & Experience

• Minimum 4 years of experience in Data Engineering
• Databricks: Standard proficiency
• Azure DevOps: Basic to Standard
• SQL: Advanced
• Data Engineering Knowledge (modeling, data flow, SCD2): Standard to Advanced
• Python: Basic to Standard
• PySpark: Standard
• Azure Services for Data Engineering (e.g., Data Factory, Synapse): Basic to Standard
• Analytical Skills: Standard to Advanced
• Data Engineering Mindset: Standard to Advanced

Soft Skills

• Strong communication skills
• Openness in articulating problems and challenging existing solutions
• Proactive in presenting and defending proposed solutions
• Team-oriented with a collaborative mindset

Benefits

• Private medical care (Medicover)
• Multisport card
• Access to an e-learning platform
• Group life insurance