Senior Data Engineer / Data Architect

Experis ManpowerGroup Sp. z o.o.; Wrocław; Remote; PLN 254,000 - 383,000; Full time

Job summary

A leading data solutions provider is seeking a Senior Data Engineer / Data Architect to join their remote team. This role involves designing scalable data pipelines using Databricks, collaborating with cross-functional teams, and implementing CI/CD principles. With a focus on Big Data technologies, the ideal candidate will have over 8 years of experience and strong skills in Python and SQL. This is a unique opportunity to work on impactful projects within a dynamic environment.

Benefits

Medicover healthcare package

Multisport card

Access to an e-learning platform

Group life insurance

Qualifications

• Minimum 8 years of experience in Data Engineering.
• At least 4 years of hands-on experience with Databricks.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and implement scalable data pipelines using Databricks and Python.
• Collaborate with cross-functional teams using Agile methodologies.
• Implement CI/CD and DevOps principles in data engineering workflows.

Skills

Databricks

Big Data technologies

Python

SQL

Agile methodologies

Data Lakes

CI/CD

Data Warehousing

Job description

Work Model: 100% Remote
Start Date: ASAP / within 1 month / flexible
Contract Type: B2B

We are looking for a highly skilled Senior Data Engineer / Data Architect to join our remote team. This is a great opportunity for someone with deep expertise in Databricks and Big Data technologies to work on impactful projects in a dynamic and collaborative environment.

Responsibilities:

• Design and implement scalable data pipelines using Databricks and Python
• Work with structured, semi-structured, and unstructured data
• Develop and optimize data warehousing and ETL processes
• Apply distributed data processing techniques and software engineering best practices
• Collaborate with cross-functional teams using Agile methodologies
• Implement CI/CD and DevOps principles in data engineering workflows

Requirements:

• Minimum 8 years of experience in Data Engineering
• At least 4 years of hands-on experience with Databricks, including Unity Catalog and data pipelines
• Minimum 2 years of experience in Big Data environments
• Strong proficiency in Python and SQL
• Solid background in data warehousing, ETL, distributed systems, and data modeling
• Experience with relational and non-relational databases
• Familiarity with concepts such as Data Lakes, Data Warehouses, Data Marts, and Data Mesh
• Experience with at least one public cloud platform (Azure, AWS, or GCP)
• Strong analytical and problem-solving skills in Big Data contexts
• Fluent English (verbal and written)
• Experience working with Agile methodologies (Scrum, Kanban) and DevOps practices

What We Offer:

• Medicover healthcare package
• Multisport card
• Access to an e-learning platform
• Group life insurance