Azure Data Engineering Architect 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:

• Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area.
• Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance.
• Expertise in designing and implementing scalable and efficient data processing frameworks.
• In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark).
• Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy.
• Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions.
• Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges.
• Proficiency in Python, PySpark, SQL.
• Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment.
• Knowledge of data governance principles and best practices, including data privacy and security regulations.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Experience in leading and mentoring data engineering teams, providing guidance and technical expertise.
• Familiarity with agile methodologies and experience in working in agile development environments.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
• Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
• Strong understanding of distributed computing principles, including parallel processing, data partitioning, and fault-tolerance.
• Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree may be preferred.

• 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.