Senior Data Engineering Manager

Senior Data Engineering Manager

We are working with a company at the forefront of delivering innovative solutions to enhance connected experiences for billions of users globally. Our focus lies in providing cutting-edge cybersecurity, device intelligence, and data-driven tools that empower our customers to create safer and more efficient digital environments.

We are currently seeking a Senior Data Engineering Manager to lead a team of skilled data engineers. This team is tasked with designing, building, and maintaining robust products and platforms that drive data analytics for internal and external stakeholders. They utilize cloud-native solutions (AWS) and state-of-the-art technologies to stay ahead in a fast-paced industry.

This position combines strategic leadership, project management, and hands-on technical involvement. You’ll work with a diverse team of experts and contribute to shaping the future of data engineering within the organization. The ideal candidate will have a strong background in managing and scaling data engineering teams, with deep expertise in AWS technologies.

Key Responsibilities:

- Lead and expand a team of data engineers to design, implement, and maintain scalable data pipelines and architectures.

- Advocate for and implement best practices in data modelling, ETL processes, and data warehousing.

- Define and support data governance processes while driving data privacy initiatives.

- Collaborate with cross-functional teams to identify and address data requirements, enabling data-driven decision-making.

- Oversee the development and deployment of data platforms and applications on AWS, ensuring alignment with business objectives.

- Foster a team culture focused on innovation, collaboration, and continuous improvement.

Required Skills and Experience:

- Proven ability to mentor and coach team members effectively.

- Strong leadership and communication skills with the ability to motivate a diverse team.

- Experience managing remote teams.

- Expertise in AWS services, particularly in data-related domains.

- Solid understanding of data modelling, query languages, and big data technologies.

- Hands-on experience troubleshooting data pipelines and cloud-based services.

- Proficiency in CI/CD pipelines (e.g., Jenkins, GitHub Actions, AWS CodePipeline).

- Strong documentation skills (processes, diagrams, technical designs).

- Familiarity with Agile development methodologies.

- Passion for software development and data engineering.

- A proactive, hands-on, problem-solving approach.

Preferred Skills:

- Technical writing proficiency.

- Knowledge of secure software development lifecycle (Secure SDLC) practices.

Benefits:

- Flexible working hours.

- Hybrid work environment.

- Access to modern development tools and equipment.

- Support for professional growth through conferences, training, and learning resources.

- A collaborative and highly skilled team environment.

- Competitive benefits package, including health insurance, snacks, and more.

This is a great chance to join a dynamic team to make an impact in a challenging and rewarding environment, where your expertise will help drive innovation and excellence in data engineering!