[Hiring] Data Engineering Tech Lead @Lingaro

Role Description

Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment.

• Set clear goals, assign tasks, and manage resources to ensure successful project delivery.
• Work closely with developers to support them and improve data engineering processes.
• Support team members with troubleshooting and resolving complex technical issues and challenges.
• Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies.
• Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.
• Collaborate with stakeholders to understand project requirements, define scope, and create project plans.
• Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards.
• Monitor progress, identify risks, and implement mitigation strategies.
• Act as a trusted advisor for the customer.
• Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.
• Ensure data solutions are scalable, efficient, and aligned with business requirements.
• Provide guidance in areas such as data modeling, database design, and data integration.
• Align coding standards, conduct code reviews to ensure proper code quality level.
• Identify and introduce quality assurance processes for data pipelines and workflows.
• Optimize data processing and storage for performance, efficiency, and cost savings.
• Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).
• Act as main point of contact to other teams/contributors engaged in the project.
• Maintain technical documentation of the project, control validity and perform regular reviews of it.
• Ensure compliance with security standards and regulations.

Qualifications

• 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.
• Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

Requirements

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
• These tools assist our recruitment team but do not replace human judgment.
• Final hiring decisions are ultimately made by humans.
• More information about how your data is processed you can find here - Candidate Privacy Notice .