robusta

Kubernetes monitoring automation and incident response

Data Capability Manager

Engineering LeadershipUpdated on Nov 9

Full-timeCairo, Cairo Governorate, EgyptNo salary listedHybrid

About the Job

Requirements

Proven experience in data engineering, data platform development, or related data technology roles.
Experience leading data engineering teams or managing technical delivery within project environments.
Strong understanding of modern data architectures, cloud-based data platforms, and data engineering concepts.
Practical experience designing and implementing data ingestion, transformation, and data modelling solutions.
Strong SQL skills and experience with programming languages such as Python or similar.
Experience working with data pipelines, orchestration, and data quality processes.
Understanding of data warehousing, data lakes, and modern data platform architectures.
Ability to make technical decisions while balancing delivery priorities, timelines, and project constraints.
Strong leadership, communication, and stakeholder management skills.
Ability to translate business requirements into technical solutions and guide teams toward successful delivery.

Responsibilities

Lead data engineering and data platform delivery from planning through implementation and production.
Translate business requirements and technical architecture into clear technical deliverables and priorities.
Lead, mentor, and support data engineering teams throughout the delivery lifecycle.
Oversee data ingestion, transformation, processing, modelling, and data quality activities.
Ensure data solutions are scalable, reliable, maintainable, and aligned with business and technical requirements.
Work closely with Project Managers to manage scope, priorities, dependencies, risks, and delivery progress.
Make and communicate technical decisions within the data engineering domain.
Review technical solutions and deliverables to ensure quality, consistency, and adherence to best practices.
Identify technical and delivery risks early and drive them through to resolution.
Collaborate with architects and other technical teams to manage integrations and dependencies.
Establish and promote data engineering standards, best practices, and reusable approaches across projects.
Act as the main technical point of contact for data engineering delivery.
Contribute to developing and strengthening the organization's data engineering capabilities.
Translate business requirements and technical strategies into scalable, production-ready data solutions.
Lead and develop high-performing data engineering teams.
Maintain high standards of engineering quality and technical excellence.
Make effective technical decisions based on project requirements and business needs.
Anticipate and manage technical risks, dependencies, and delivery challenges.
Deliver reliably against agreed project commitments.
Establish reusable data engineering practices and build a strong foundation for future data initiatives.

Desired Qualifications

Experience with modern cloud platforms and data engineering ecosystems.
Exposure to lakehouse architectures and distributed data processing.
Experience with data transformation and modelling frameworks.
Experience with CI/CD and automated deployment of data workloads.
Experience with real-time or near-real-time data processing.
Experience with BI and analytics platforms.
Experience with data governance, master data management, or data quality frameworks.
Experience integrating data from enterprise systems such as ERP and CRM platforms.
Relevant cloud, data engineering, or technology certifications.

Data Capability Manager - RTG

robusta · Cairo, Egypt (Hybrid) · — · Posted 2026-09-17

Workplace: hybrid

Description

About the Role

We are looking for an experienced Data Capability Manager to lead data engineering and data platform delivery across strategic enterprise projects.

In this role, you will take ownership of data engineering workstreams from planning and solution design through implementation and production. You will lead and guide data engineering teams, work closely with technical architects, project managers, and business stakeholders, and ensure the successful delivery of scalable, reliable, and high-quality data solutions.

The ideal candidate combines strong hands-on data engineering experience with technical leadership and delivery management capabilities. They should have a solid understanding of modern data architectures, cloud-based data platforms, and data engineering best practices, along with the ability to make sound technical decisions and translate business requirements into effective technical solutions.

What You'll Do

Lead data engineering and data platform delivery from planning through implementation and production.
Translate business requirements and technical architecture into clear technical deliverables and priorities.
Lead, mentor, and support data engineering teams throughout the delivery lifecycle.
Oversee data ingestion, transformation, processing, modelling, and data quality activities.
Ensure data solutions are scalable, reliable, maintainable, and aligned with business and technical requirements.
Work closely with Project Managers to manage scope, priorities, dependencies, risks, and delivery progress.
Make and communicate technical decisions within the data engineering domain.
Review technical solutions and deliverables to ensure quality, consistency, and adherence to best practices.
Identify technical and delivery risks early and drive them through to resolution.
Collaborate with architects and other technical teams to manage integrations and dependencies.
Establish and promote data engineering standards, best practices, and reusable approaches across projects.
Act as the main technical point of contact for data engineering delivery.
Contribute to developing and strengthening the organization's data engineering capabilities.

Requirements

Must-Have

Proven experience in data engineering, data platform development, or related data technology roles.
Experience leading data engineering teams or managing technical delivery within project environments.
Strong understanding of modern data architectures, cloud-based data platforms, and data engineering concepts.
Practical experience designing and implementing data ingestion, transformation, and data modelling solutions.
Strong SQL skills and experience with programming languages such as Python or similar.
Experience working with data pipelines, orchestration, and data quality processes.
Understanding of data warehousing, data lakes, and modern data platform architectures.
Ability to make technical decisions while balancing delivery priorities, timelines, and project constraints.
Strong leadership, communication, and stakeholder management skills.
Ability to translate business requirements into technical solutions and guide teams toward successful delivery.

Nice-to-Have

Experience with modern cloud platforms and data engineering ecosystems.
Exposure to lakehouse architectures and distributed data processing.
Experience with data transformation and modelling frameworks.
Experience with CI/CD and automated deployment of data workloads.
Experience with real-time or near-real-time data processing.
Experience with BI and analytics platforms.
Experience with data governance, master data management, or data quality frameworks.
Experience integrating data from enterprise systems such as ERP and CRM platforms.
Relevant cloud, data engineering, or technology certifications.

What Success Looks Like

In this role, you will be successful if you can:

Translate business requirements and technical strategies into scalable, production-ready data solutions.
Lead and develop high-performing data engineering teams.
Maintain high standards of engineering quality and technical excellence.
Make effective technical decisions based on project requirements and business needs.
Anticipate and manage technical risks, dependencies, and delivery challenges.
Deliver reliably against agreed project commitments.
Establish reusable data engineering practices and build a strong foundation for future data initiatives.

Apply

Apply at robusta

About the Company

robusta

Kubernetes monitoring automation and incident response

Robusta provides a SaaS-based platform and open-source engine for Kubernetes monitoring and automation. It listens to data from sources like Prometheus alerts and Kubernetes state, and when an issue is detected, it runs automation rules that gather context (such as pod logs and performance graphs) and attach this information to alerts delivered through Slack, MS Teams, or Discord. Users can define automated runbooks in YAML, turning common operational knowledge into repeatable, one-click remediation steps. The product supports multi-cluster observability and offers a freemium model with paid plans that add longer data retention, on-premise deployment, and enterprise features. Robusta targets DevOps teams, developers, and platform engineers to reduce alert fatigue and speed up root-cause analysis, while enabling developers to be more self-sufficient in managing cloud-native apps."

Company size: 11-50
Company stage: Seed
Total funding: $600K
Headquarters: Tel Aviv-Yafo, Israel
Founded: 2021

Recently Posted Jobs

Explore more opportunities at robusta

See more jobs