About the role

Data Engineering Team Lead engaging with enterprise-level organizations on data architecture using Google Cloud solutions. Leading a team of data engineers in a hybrid work model.

Responsibilities

Lead and inspire an experienced team of data engineers and scientists, working with them on their skills, personal development and career growth.
Carry out one-to-ones with your team members to discuss any issues they’re facing, provide support and encouragement and discuss their career goals.
Design L&D KPIs for your team, helping to grow their skills over time and scale your own knowledge and experience.
Keep on top of administrative duties relating to team leadership - performance reviews, absence management, arranging team-building events etc.
Play an active role in the recruitment process to bring new people into the business.
Lead client engagements and project delivery.
Consult, design, coordinate architecture to modernise infrastructure for performance, scalability, latency, and reliability.
Identify, scope, and participate in the design and delivery of cloud data platform solutions.
Deliver highly scalable big data architecture solutions using Google Cloud Technology.
Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery, and other data technologies.
Design and execute a platform modernization approach for customers' data environments.
Document and share technical best practices/insights with engineering colleagues and the Data Engineering community.
Mentor and develop engineers within the Qodea Data Team and within our customers' engineering teams.
Act as the point of escalation with client-facing problems that need solving.

Strong experience as a Lead / Principal Cloud Data Engineer, with a solid track record of migrating large volumes of data through the use of cloud data services and modern tooling.
Experience of leading teams of engineers.
Experience in performing a technical leadership role on projects and contributing to technical decision making during in-flight projects.
A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers.
Significant experience of coding in Python and Scala or Java.
Experience with big data processing tools such as Hadoop or Spark.
Cloud experience.
Experience with Terraform.
Prior experience in a customer-facing consultancy role would be highly desirable.
Experience in working with agile software engineering teams.

Competitive base salary.
De Minimis Allowance.
13th Month Pay: Equivalent to one month’s base salary, paid every December.
Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid).
Sick Leave: 15 paid days per year, pro-rated from the start date.
Annual Leave: 28 days per calendar year (January 1 – December 31), pro-rated based on start date.
Birthday Leave: An extra paid day off for your birthday.
Learning Leaves: Ten paid learning days per year.
Philippine Public Holidays: Statutory holidays are included.
Bereavement Leave: 3 paid days.
Parental Leave: Maternity or Paternity leave.
Flexible Work Arrangement: Hybrid model (two to three days in the office).
Peer Recognition: 100 Bonusly points per month for peer recognition.