Technical Lead Data Engineer

act digital EMEA - Alter Solutions; Brussel; On-site; EUR 90,000 - 120,000; Full time

Job summary

act digital is an international consulting and engineering group delivering digital transformation across software, data, cloud and AI. You will join a skilled data team, leading architectural design, data pipelines, and code quality within agile delivery.

You will mentor engineers, drive best practices, ensure test coverage, keep dependencies secure, and collaborate with stakeholders to deliver scalable data solutions across client projects.

Qualifications

• Experience leading technical data projects.
• Ability to deliver detailed technical design documents.
• High-quality, well-documented code with comprehensive test coverage.
• Regular code review reports and recommendations.
• Updated and secure libraries and dependencies.
• Stable and reliable production deployments.
• Work breakdown structures and reliable story estimates.
• Continuous improvement plans and implemented process enhancements.

Responsibilities

• Lead the technical design and development of data architectures and pipelines.
• Oversee the technical aspects of data engineering projects, ensuring best practices and standards.
• Conduct and oversee code reviews to maintain high code quality and adherence to standards.
• Ensure comprehensive test coverage for all codebases to guarantee robust deployments.
• Collaborate with solution architects during design to ensure feasibility and scalability.
• Mentor and coach data engineers, promoting growth and knowledge sharing.
• Define MVPs and roadmaps with the PO, and provide reliable estimates for stories.
• Identify and mitigate technical risks in data engineering projects.

Skills

Lead data projects

Technical design docs

High-quality code

Test coverage

Code reviews

Dependency updates

Production deployments

Work breakdowns

Story estimation

Continuous improvement

Tools

Data engineering tools

Job description

act digital is an international consulting and engineering group that supports its clients in their digital transformation projects.

Present in 12 countries and with more than 6,000 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI.

Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience.

Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.

Job Description

You will join our team of experts in data.

Technical Leadership

• Leading the technical design and development of data architectures and pipelines.
• Overseeing the technical aspects of data engineering projects, ensuring best practices and standards are followed.
• Conducting and overseeing code reviews to maintain high code quality and adherence to standards.
• Ensuring comprehensive test coverage for all codebases to guarantee robust and error-free deployments.

Code Quality and Maintenance

• Ensuring libraries and dependencies are kept up-to-date and free from vulnerabilities.
• Responsible for ensuring the stability of the production code, facilitating smooth and rapid deployment of bug fixes.
• Responsible for implementing and enforcing best practices for coding, testing, and deployment, with the entire team involved in ensuring adherence.
• Responsible for ensuring that the necessary and comprehensive documentation is written and maintained by the team for all codebases and data engineering processes

Collaboration and Solution Design

• Working closely with solution architects during the solution design phase to ensure feasibility and scalability.
• Providing technical guidance and mentorship to the data engineering scrum team.
• Facilitating communication between data engineers and other stakeholders, ensuring alignment on technical solutions and project goals.

Coaching and Mentoring

• Serving as a coach and mentor to other data engineers, promoting their professional growth and technical skills development.
• Providing regular feedback, guidance, and support to team members to help them achieve their career goals.
• Encouraging a collaborative and inclusive team environment where knowledge sharing is prioritized.

Agile Management and Delivery

• Ensuring that the work is broken down into manageable stories and tasks, providing clear and actionable work plans
• Having a clear understanding of all tasks and features to define an MVP and to develop a roadmap for future versions in collaboration with the PO
• Providing accurate and reliable estimates for story completion in collaboration with the team.
• Ensuring timely and successful delivery (in collaboration with the Scrum Master and Product Owner) of data engineering projects and features.
• Identifying and mitigating technical risks associated with data engineering projects and processes.

Continuous Improvement

• Staying current with the latest industry trends, tools, and technologies in data engineering.
• Fostering a culture of continuous learning and improvement within the team.
• Identifying opportunities for process improvements and implementing changes to enhance efficiency and quality.

Operational Excellence

• Ensuring the effective monitoring and management of the performance, reliability, and scalability of data solutions in production
• Overseeing the implementation of monitoring and alerting systems to proactively address potential issues, in collaboration with the platform team and utilizing platform capabilities.
• Ensuring data solutions comply with relevant security, privacy, and regulatory requirements.

Profile / Requirements

What profile are we looking for this position:

Must-have skills

• Experience in leading technical data projects
• Able to deliver :
• Detailed technical designs documents.
• High-quality, well-documented code with comprehensive test coverage.
• Regular code review reports and recommendations.
• Updated and secure libraries and dependencies.
• Stable and reliable production deployments.
• Work breakdown structures and reliable story estimates.
• Continuous improvement plans and implemented process enhancements.