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Join to apply for the IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

What we are looking for in you

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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Join to apply for the

IoT Data Engineer

role at

Canonical 2 days ago Be among the first 25 applicants Join to apply for the

IoT Data Engineer

role at

Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments. Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang. Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity. Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers. Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale. Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence. Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders. Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.

What we are looking for in you

You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability. You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance. You bring proven expertise in designing and optimizing systems using: IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling. Ability to design decentralized data ownership models, ensuring interoperability and governance across domains. Designing high-throughput, low-latency systems for IoT data processing. Data streaming technologies (MQTT, Kafka, RabbitMQ) Observability tools (OpenTelemetry) Industrial/engineering data exchange protocols (OPC-UA, ModBus) You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives. You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing. You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape. You are familiar with Ubuntu as a development and deployment platform. You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field. Willingness to travel up to 4 times a year for internal events.

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior

Data Engineer

at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location:

This role will be based remotely in the EMEA region.

What your day will look like

Utilise advanced data analytics to grow Canonical's product adoption and market penetration Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes Design and conduct experiments with data, visualisation and insights into Canonical's target audiences Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

What we are looking for in you?

Background in data science, mathematics, actuarial science, or engineering Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc) Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc) Ability to translate business questions to key research objectives Ability to identify the best methodology to execute research, synthesise and analyse findings Excellent writing and communication skills Willingness to examine the status quo and resilient in the face of challenges

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

Fully remote working environment - we've been working remotely since 2004!

Personal learning and development budget of 2,000 USD per annum

Annual compensation review

Recognition rewards

Annual holiday leave

Parental Leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues at 'sprints'

️Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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About Tap

Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey.

The Data Team

Our data team is the secret sauce behind our rocket ship to success. Unleashing the power of data analytics to drive strategic decisions and stay ahead of the curve. Pushing boundaries and challenging the status quo.

As a Tapster you will:

• Build and maintain efficient, scalable, and resilient batch and streaming data pipelines using Python, SQL, and orchestration tools like Apache Airflow or Prefect.
• Design and implement ELT/ETL frameworks across distributed systems integrating structured and unstructured data from multiple source systems (e.g., APIs, logs, databases, cloud services).
• Own data models and transformations within cloud data platforms such as Redshift, BigQuery, or Databricks.
• Leverage AWS-native services (e.g., S3, Lambda, Glue, Step Functions, Kinesis,DMS, MSK) or GCP/Azure/OCI equivalents for building data lakehouse and warehouse solutions.
• You will lead initiatives to modernize Tap’s data stack and support our journey toward AI/ML-driven intelligence.
• Collaborate with analytics, product, and machine learning teams to provision clean, reliable, and timely datasets.
• Apply CI/CD and Infrastructure-as-Code principles using tools like Terraform, GitLab CI, or AWS CDK to deploy and manage data infrastructure.
• Enforce data governance, quality checks, lineage, and compliance frameworks using tools such as Great Expectations, Monte Carlo, or Apache Atlas.
• Implementing robust data logging, alerting, and observability strategies using tools such as Datadog, Prometheus, or CloudWatch.
• Partnering with DevSecOps and InfoSec to ensure compliance with ISO 27001, PCI-DSS, and regional data protection regulations.
• Monitor and tune job performance, cost, and resource usage across environments.

What you will bring to the party:

• 4 - 7 years of hands-on experience in data engineering, working in high-scale, cloud-native environments.
• Proven track record of building and optimizing data pipelines, managing data lakes, and architecting data warehouse solutions in fast-paced technology, fintech, or digital-first organizations.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related quantitative discipline.
• Deep proficiency in Python for data processing and scripting, and strong command of SQL for analytics and data modeling.
• Experience with Structured and unstructured database systems(RDBMS, NOSQL, Columnary, NewSQL)
• Experience with cloud data ecosystems like AWS (S3, Glue, Redshift, Lambda), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
• Experience and knowledge of BI tools
• Familiarity with orchestration and workflow tools such as Apache Airflow or other equivalent scale tools.
• Strong understanding of data architecture principles, dimensional modeling, and distributed data systems (e.g., Spark, Kafka, Flink).
• Experience deploying infrastructure-as-code using Terraform, CloudFormation, or similar tools.
• Solid grounding in data security, encryption, masking, access control, and compliance standards such as PCI-DSS, GDPR, or ISO 27001.
• Comfort working with tools like Git, Docker, CI/CD pipelines, and containerized environments.
• Ability to design systems with reliability, scalability, and performance in mind.

Are you ready to shape the future of payments in MENA?

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About Tap Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey.

The Data Team Our data team is the secret sauce behind our rocket ship to success. Unleashing the power of data analytics to drive strategic decisions and stay ahead of the curve. Pushing boundaries and challenging the status quo. As a Tapster you will: Build and maintain efficient, scalable, and resilient batch and streaming data pipelines using Python, SQL, and orchestration tools like Apache Airflow or Prefect. Design and implement ELT/ETL frameworks across distributed systems integrating structured and unstructured data from multiple source systems (e.g., APIs, logs, databases, cloud services). Own data models and transformations within cloud data platforms such as Redshift, BigQuery, or Databricks. Leverage AWS-native services (e.g., S3, Lambda, Glue, Step Functions, Kinesis,DMS, MSK) or GCP/Azure/OCI equivalents for building data lakehouse and warehouse solutions. You will lead initiatives to modernize Tap’s data stack and support our journey toward AI/ML-driven intelligence. Collaborate with analytics, product, and machine learning teams to provision clean, reliable, and timely datasets. Apply CI/CD and Infrastructure-as-Code principles using tools like Terraform, GitLab CI, or AWS CDK to deploy and manage data infrastructure. Enforce data governance, quality checks, lineage, and compliance frameworks using tools such as Great Expectations, Monte Carlo, or Apache Atlas. Implementing robust data logging, alerting, and observability strategies using tools such as Datadog, Prometheus, or CloudWatch. Partnering with DevSecOps and InfoSec to ensure compliance with ISO 27001, PCI-DSS, and regional data protection regulations. Monitor and tune job performance, cost, and resource usage across environments. What you will bring to the party: 4 - 7 years of hands-on experience in data engineering, working in high-scale, cloud-native environments. Proven track record of building and optimizing data pipelines, managing data lakes, and architecting data warehouse solutions in fast-paced technology, fintech, or digital-first organizations. Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related quantitative discipline. Deep proficiency in Python for data processing and scripting, and strong command of SQL for analytics and data modeling. Experience with Structured and unstructured database systems(RDBMS, NOSQL, Columnary, NewSQL) Experience with cloud data ecosystems like AWS (S3, Glue, Redshift, Lambda), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow). Experience and knowledge of BI tools Familiarity with orchestration and workflow tools such as Apache Airflow or other equivalent scale tools. Strong understanding of data architecture principles, dimensional modeling, and distributed data systems (e.g., Spark, Kafka, Flink). Experience deploying infrastructure-as-code using Terraform, CloudFormation, or similar tools. Solid grounding in data security, encryption, masking, access control, and compliance standards such as PCI-DSS, GDPR, or ISO 27001. Comfort working with tools like Git, Docker, CI/CD pipelines, and containerized environments. Ability to design systems with reliability, scalability, and performance in mind. Are you ready to shape the future of payments in MENA?

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Direct message the job poster from Zak Solutions for Computer Systems

HR Business Partner / Business Psychologist

Key Responsibility:

• Provide direct technical support for the team in the field of networks and communication systems.
• Monitor all systems continuously.
• Prepare periodic reports (daily and monthly) to follow up on and resolve issues.
• Continuous follow-up on all issues.
• Resolve issues quickly and professionally.
• Manage day-to-day operations of the Data Center & Core Network for the specific needs of Network Infrastructure and critical business applications.
• Acts as technical lead for cross-functional IT teams, providing assistance and troubleshooting network-related issues.
• Install, configure, troubleshoot, and repair network devices such as switches, routers, firewalls, etc.
• Responsible for smooth and timely operations and maintenance of the Data Center and Core Network devices.
• Resolve incidents timely & restore services with permanent solutions.
• Monitor network performance & trends, prevent the occurrence of incidents and problems, and improve overall performance by the team.
• Test the disaster recovery site periodically.
• Provide a detailed report of such tests to the superintendent.
• Maintain periodic maintenance for the system (applying patches, software upgrades, etc.) as and when available.

Requirements:

• B.Sc. in Computer Engineering, Computer Science, Information Systems, or equivalent.
• CCNA Data Center Certified.
• CCNP Data Center Certified.
• Minimum of 10 years of experience in Cisco applications and specialized in network administration and maintenance.
• Experience in data center environments.
• Experience with Cisco Nexus Switches.
• Experience in Wireless Networking.
• Experience with Cisco IP Telephony.
• Experience in SolarWinds monitoring systems.
• Experience with Citrix NetScaler.
• Experience in Infoblox systems.
• Excellent command of English.

# Only The Relevant Application Will Be View, And For the Relevant Candidate Please Attach Your Updated Resume & Bachelor Degree Certificate and a copy of Your Professional Certificates in Order To Arrange the Interview.

You Can Send Also To Email :-

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting and IT System Data Services

Referrals increase your chances of interviewing at Zak Solutions for Computer Systems by 2x

Sign in to set job alerts for “Data Center Engineer” roles. Required network Engineers for reputed firm Required Security systems site Engineer & Physical Security Technicians Software Engineer - Data Infrastructure - Kafka Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Zak Solutions for Computer Systems HR Business Partner / Business Psychologist

Key Responsibility: Provide direct technical support for the team in the field of networks and communication systems. Monitor all systems continuously. Prepare periodic reports (daily and monthly) to follow up on and resolve issues. Continuous follow-up on all issues. Resolve issues quickly and professionally. Manage day-to-day operations of the Data Center & Core Network for the specific needs of Network Infrastructure and critical business applications. Acts as technical lead for cross-functional IT teams, providing assistance and troubleshooting network-related issues. Install, configure, troubleshoot, and repair network devices such as switches, routers, firewalls, etc. Responsible for smooth and timely operations and maintenance of the Data Center and Core Network devices. Resolve incidents timely & restore services with permanent solutions. Monitor network performance & trends, prevent the occurrence of incidents and problems, and improve overall performance by the team. Test the disaster recovery site periodically. Provide a detailed report of such tests to the superintendent. Maintain periodic maintenance for the system (applying patches, software upgrades, etc.) as and when available. Requirements: B.Sc. in Computer Engineering, Computer Science, Information Systems, or equivalent. CCNA Data Center Certified. CCNP Data Center Certified. Minimum of 10 years of experience in Cisco applications and specialized in network administration and maintenance. Experience in data center environments. Experience with Cisco Nexus Switches. Experience in Wireless Networking. Experience with Cisco IP Telephony. Experience in SolarWinds monitoring systems. Experience with Citrix NetScaler. Experience in Infoblox systems. Excellent command of English. # Only The Relevant Application Will Be View, And For the Relevant Candidate Please Attach Your Updated Resume & Bachelor Degree Certificate and a copy of Your Professional Certificates in Order To Arrange the Interview. You Can Send Also To Email :- Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting and IT System Data Services Referrals increase your chances of interviewing at Zak Solutions for Computer Systems by 2x Sign in to set job alerts for “Data Center Engineer” roles.

Required network Engineers for reputed firm

Required Security systems site Engineer & Physical Security Technicians

Software Engineer - Data Infrastructure - Kafka

Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

1. Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling.
2. Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes.
3. Oversee the design and implementation of innovative data science projects that drive value for the organization.
4. Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency.
5. Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights.
6. Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results.
7. Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels.
8. Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate.

Requirements:

1. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
2. Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position.
3. Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries.
4. Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques.
5. Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
6. Excellent project management skills and ability to prioritize tasks in a fast-paced environment.
7. Strong analytical and problem-solving skills with attention to detail.
8. Exceptional communication skills, both verbal and written, in English and Arabic.
9. Proven capability to drive collaboration across teams and influence senior stakeholders.

Preferable Certificates:

1. Certified Data Scientist (CDS)
2. Microsoft Certified: Azure Data Scientist Associate
3. Google Cloud Professional Data Engineer

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3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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