Lead Data Engineer

Experis ManpowerGroup Sp. z o.o.; Wrocław; Remote; PLN 30,000 - 45,000; Full time

Job summary

A leading company seeks a Lead Data Engineer to drive the development of innovative data solutions. This role involves collaborating with teams, optimizing data pipelines, and ensuring high-quality data management. As a remote position, candidates with a master's degree and significant experience in software and data engineering are encouraged to apply.

Benefits

MultiSport Plus

Group insurance

Medicover Premium

E-learning platform

Qualifications

• 8+ years in software and data engineering, with 4+ years in Data Pipeline Engineering.
• Experience leading complex data engineering projects.
• Familiarity with cloud technologies and life sciences regulatory requirements.

Responsibilities

• Drive innovation in data infrastructure and pipelines.
• Collaborate with teams to ensure efficient data management.
• Enable implementation of data pipelines and best practices.

Skills

Data Engineering

Collaboration

Innovation

Automation

Optimization

Education

Master's degree in Data, Computer Science, Information Management

Tools

Databricks

Python

SQL

Azure

AWS

Job description

We’re looking for a Lead Data Engineer to drive innovation and optimization in the development of data infrastructure and pipelines to ensure the delivery of high quality data management solutions.

Responsibilities:
• Work with teams of data engineers fostering a culture of collaboration, innovation and excellence
• Execute the data engineering strategy in partnership with stakeholders
• Define and enable the implementation of the best practices, standards, tools and services for data engineering, ensuring efficient data management
• Enable the implementation of data pipelines, data platforms and tools by providing engineers automation and optimization capabilities to ensure the FAIR create data
product process is efficient
• Ensure the delivery of high quality, scalable, and efficient data management solutions
• Collaborate with cross functional teams to understand and address technical requirements in addition to implementing efficiency improvements
• Provide processes and capabilities to ensure achievement of the data quality and system performance measures
• Work in a high performance team that fosters a culture of professional growth while promoting diversity and inclusion


Requirements:
• A master’s degree in data, Computer Science, Information Management, or a related field
• Experience of 8+ years of in the domain of software and data engineering, with relevant 4+ years in Data Pipeline Engineering and Integration
• Demonstrated experience in leading complex data engineering projects is essential
• Strong proficiency in Databricks and a deep understanding of its core functions and tools to optimize data workflows and analytics
• Extensive experience with programming languages such as Python, especially for data manipulation, automation, and model development
• Proficient in SQL for complex query development, performance tuning, and data extraction across varied databases
• Hands on experience with DevOps and CI/CD processes and tools, ensuring smooth and reliable software delivery and code deployments
• Expertise in data modelling, data integration, metadata management, and data governance to establish robust and scalable data architectures
• Strong experience of 4+ years with Cloud Technologies, such as Azure and AWS
• Certifications are a plus
• Familiarity with life sciences regulatory requirements and standards
• Experience in designing scalable data engineering solutions, working closely with business, and leading virtual technical teams


Our offer:
• Workplace: 100% remote
• MultiSport Plus
• Group insurance
• Medicover Premium
• e-learning platform