Data Engineering Tech Lead Freelance Part-time

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Freelance Cooperation – What Does It Mean?

• Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.
  
• Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.
  
• Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.
  
• No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.

Requirements:

• Minimum of 5 years of experience in data engineering or a related field.
• Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL and Scala.
• Familiarity with Azure cloud platform and services, and experience in implementing data solutions in a cloud environment.
• Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.
• Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.
• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
• Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
• A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous.

• Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
  
• Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.
  
• A diverse, inclusive, and values-driven community.
  
• Autonomy to choose the way you work. We trust your ideas.