Data Engineering Tech Lead

Lingaro Group Philippines; Manila; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Office as an option

Workation

Udemy access

Certificate training programs

Internal promotions

Well-being programs

Job summary

Lingaro Group Philippines is seeking a data engineering leader to guide a team of engineers, design scalable data solutions, and collaborate with stakeholders across the business. You will mentor staff, define architecture, enforce coding standards, and drive best practices in data governance, quality, and security.

The role emphasizes strong technical skills in Python/SQL/Scala, cloud experience with Azure, and solid project management capabilities to deliver high-quality data projects on time.

Qualifications

• Minimum 5 years of experience in data engineering or a related field.
• Proficient in Python, SQL and Scala.
• Experience with Azure cloud platform and cloud data solutions.
• Proven experience leading a team of data engineers.
• Knowledge of data governance, data quality, and data integration.
• Strong project management, prioritization, and delivery skills.
• Familiar with data security and privacy regulations.
• Excellent communication and collaboration with cross-functional teams.
• Degree in CS/IS; certifications in data integration are advantageous.

Responsibilities

• Provide leadership and guidance to the data engineering team, including mentoring and coaching.
• Support team with troubleshooting and resolving complex issues.
• Set technical direction for data engineering tools, technologies, and methodologies.
• Collaborate with stakeholders to define project scope and plans.
• Assist project managers to ensure timely, budget-conscious delivery and risk mitigation.
• Act as trusted advisor for the customer and stakeholders.
• Oversee architecture and design of data solutions for scalability and efficiency.
• Enforce coding standards and conduct code reviews.
• Implement quality assurance processes for data pipelines.
• Optimize data processing and storage for performance and cost.
• Evaluate new technologies to improve data engineering processes.
• Serve as main point of contact to other teams and maintain project docs.
• Ensure compliance with security standards and regulations.

Skills

Python

SQL

Scala

Azure

Leadership

Project management

Data governance

Data quality

Data integration

Communication

Problem solving

Security compliance

Education

CS/IS degree

Tools

ETL frameworks

Data pipelines

Data warehousing

Azure cloud services

Job description

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.

Tasks:

• 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.

What We're Looking For:

• 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.

Offer:

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.

• "Office as an option" model. You can choose to work remotely or in the office.

• Workation. Enjoy working from inspiring locations in line with our workation policy.

• Great Place to Work® certified employer.

• Flexibility regarding working hours and your preferred form of contract.

• Comprehensive online onboarding program with a "Buddy" from day 1.

• Cooperation with top-tier engineers and experts.

• Unlimited access to the Udemy learning platform from day 1.

• Certificate training programs. Lingarians earn 500+ technology certificates yearly.

• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

• Grow as we grow as a company. 76% of our managers are internal promotions.

• A diverse, inclusive, and values-driven community.

• Autonomy to choose the way you work. We trust your ideas.

• Create our community together. Refer your friends to receive bonuses.

• Activities to support your well-being and health.

• Plenty of opportunities to donate to charities and support the environment.

• Modern office equipment. Purchased for you or available to borrow, depending on your location.