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Join to apply for the Lead Data Governance Engineer role at Canonical

3 days ago Be among the first 25 applicants

Join to apply for the Lead Data Governance Engineer role at Canonical

Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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.

We are hiring a Lead Data Governance Engineer with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.

The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.

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

The role entails

• Define, monitor, and execute data governance policies
• Design, implement, and maintain tooling for automated data mesh operations
• Deploy and operate services developed by the team
• Depending on your seniority, coach, mentor, and offer career development feedback
• Develop and evangelize great engineering and organizational practices
  
  

What we are looking for in you

• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Track record of going above-and-beyond expectations to achieve outstanding results
• Experience with data quality, governance, and security processes and tools
• Experience with software development in Python and SQL
• Professional written and spoken English with excellent presentation skills
• Result-oriented, with a personal drive to meet commitments
• Ability to travel internationally twice a year, for company events up to two weeks long
  
  

Nice-to-have skills

• Performance engineering and security experience
• Experience with Airbyte, Ranger, Superset, Temporal, or Trino
  
  

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
• Employee Assistance Program
• 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 its 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

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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Solutions Engineering Distributed Systems Software Engineer, Python / Go Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer - Data Infrastructure - Kafka Python Software Engineer - Ubuntu Hardware Certification Team System Software Engineer - Python interpreter, tooling, and ecosystem Lead Python Software Engineer, Commercial Systems Software Engineer, Ceph & Distributed Storage Golang System Software Engineer - Containers / Virtualisation Software Engineer - Immutable Ubuntu Desktop Software Engineer - Cross-platform C++ - Multipass Embedded Linux Senior Software Engineer - Optimisation

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Join to apply for the

Lead Data Governance Engineer

role at

Canonical 3 days ago Be among the first 25 applicants Join to apply for the

Lead Data Governance Engineer

role at

Canonical Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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.

We are hiring a

Lead Data Governance Engineer

with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.

The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.

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

The role entails

Define, monitor, and execute data governance policies Design, implement, and maintain tooling for automated data mesh operations Deploy and operate services developed by the team Depending on your seniority, coach, mentor, and offer career development feedback Develop and evangelize great engineering and organizational practices

What we are looking for in you

Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Track record of going above-and-beyond expectations to achieve outstanding results Experience with data quality, governance, and security processes and tools Experience with software development in Python and SQL Professional written and spoken English with excellent presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long

Nice-to-have skills

Performance engineering and security experience Experience with Airbyte, Ranger, Superset, Temporal, or Trino

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 Employee Assistance Program 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 its 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 Get notified about new Data Engineer jobs in

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Responsibilities

• Gathering and understanding business requirements for data visualization and analysis
• Collaborating with team and analysts to acquire, clean, and transform data for reporting purposes
• Designing and developing Power BI reports and dashboards to meet the business stakeholders needs
• Work with Best in Town (BIT) approach for finalization of all kind of management reports
• Review of online dashboard and report for supporting business leaders in effective decision making
• Troubleshooting and resolving issues in Power BI reports
• Providing regular training to the team and support the end users on using Power BI and developing basic reports
• Support in automation of all finance and analytical reports
• Keeping up-to-date with the latest Power BI features and trends
• Prepare all the financial reporting reports and analysis as per requirements

Responsibilities

• Gathering and understanding business requirements for data visualization and analysis
• Collaborating with team and analysts to acquire, clean, and transform data for reporting purposes
• Designing and developing Power BI reports and dashboards to meet the business stakeholders needs
• Work with Best in Town (BIT) approach for finalization of all kind of management reports
• Review of online dashboard and report for supporting business leaders in effective decision making
• Troubleshooting and resolving issues in Power BI reports
• Providing regular training to the team and support the end users on using Power BI and developing basic reports
• Support in automation of all finance and analytical reports
• Keeping up-to-date with the latest Power BI features and trends
• Prepare all the financial reporting reports and analysis as per requirements

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Responsibilities

Gathering and understanding business requirements for data visualization and analysis Collaborating with team and analysts to acquire, clean, and transform data for reporting purposes Designing and developing Power BI reports and dashboards to meet the business stakeholders needs Work with Best in Town (BIT) approach for finalization of all kind of management reports Review of online dashboard and report for supporting business leaders in effective decision making Troubleshooting and resolving issues in Power BI reports Providing regular training to the team and support the end users on using Power BI and developing basic reports Support in automation of all finance and analytical reports Keeping up-to-date with the latest Power BI features and trends Prepare all the financial reporting reports and analysis as per requirements

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**Responsibilities**:

- Showcase a strong sense of leadership and aptitude for creating efficient workflows
- Take charge of overseeing the growth and performance of a group of data scientists
- Work with researchers to develop and implement workflows for the data science team
- Write effective, high-quality Python code to solve problems
- Debug code and provide thorough documentation
- Conduct code reviews with peers and offer helpful criticism
- Using free datasets (such as Kaggle, the UN, the US government, etc.), use your data analytic skills to formulate and respond to important business issues
- In order to comprehend requirements and convey findings, efficiently communicate with researchers
- Effectively communicate complicated topics to team members and stakeholders while providing practical assistance with data analysis
- In addition to designing and implementing workflows for the data science team, solve difficult problems

**Job Requirements**:

- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 7+ years of relevant experience as a Data Scientist Lead/Manager
- 5+ years of Python programming and data science experience
- 2+ years of experience leading a group of at least five employees
- Prolific experience working with Data Science
- Outstanding interpersonal abilities to work well with researchers and stakeholders
- Substantial critical thinking and problem-solving abilities
- Strong business sense combined with data analytic abilities to identify the key questions to ask from the dataset, provide clear answers, and explain the key findings
- Nice to have some understanding of SQL
- Excellent English communication skills, both conversational and written

**Job Type**: Contract
Contract length: 6 months

Lead Operations Data & Performance Analyst

Ref #

Location

Qatar - Doha

Job family

Cargo & Airport Operations

About the role:

Responsible for the performance analysis (proactive and reactive), validation and reporting of AOCC operational data in order to support decision making for procedural and conceptual improvements. The job also enhances the monitoring of the AOCC personnel performance on OPS data handling and hard resources allocation actions, with the scope to achieve a deeper insight on the improvement capabilities. Furthermore, the job plays a key role on the transformation of the AOCC reporting scheme.

Key responsibilities

• Provide technical expertise to the information system team in major application deployment by assisting in designing process to arrive at high performance and optimal operational solutions.
• Develop consolidate operational dashboards, analyze and report of hard resources allocation related data and trends to the management team based on AOCC actions (real time vs planning, historic, etc.)
• Reduce manual operational jobs by ensuring automation of as many operational procedures for monitoring and supporting the day of operation responsibilities of AOCC.
• Develop supporting material and perform training to raise the data driven approach to decision making.
• Produce reports and analysis on internal performance of the AOCC department and AOCC personnel against the set KPls and other performance metrics. Ensure that this information is timely, accurate and highlights areas of opportunity or risk.
• To proactively research of operational issues to determine a source of data discrepancy or a trend and identify solutions for prevention of future discrepancy.
• Analyse information using various statistical methods, highlight patterns and trends within the data suggesting conclusions. Support Line Manager by designing and presenting conclusions gained from analysing data using statistical tools.
• Develop statistical / supporting data as advised by the management through presentations, business cases and management information reports.
• Attend Daily/ Weekly/ Monthly meetings with managers to understand the business requirements. Meet with business to discuss operational projects briefing providing current and targeted data that will help the business to set the KPl's outlined by the management.
• Collaborate with other data analytics and reporting teams to improve overall operational reporting capability and identify opportunities for improvements using alternative data sources.
• Design; develop automated reporting using the available corporate applications. Capture, analyse and present the data.
• Provide guidance to the AOCC duty team on how to use applicable data & information management and reporting systems.
• Perform other department duties related to the position as directed by the Head of the Department.

Qualifications

About you:

• Bachelor's Degree or Equivalent with Minimum 4 years of job-related experience.
• Experienced in Airport Operations.
• Experienced in the roles and concept of operations control Centres.
• Strong analytical and presentation skills
• Data Analysis.
• Excellent knowledge of the Microsoft office suite.
• Excellent knowledge of Microsoft Power Bl.
• Knowledge on Airport Operations Systems (AOS).
• Knowledge on Airport Operational Database (AODB).

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Data Analytics & Business Intelligence Lead Overview

Our culture is the result of many years in the logistics industry. We constantly evolve and push our boundaries. If you want to work on interesting projects and innovate in the field of supply chain, we are the place for you.

Responsibilities

• Work closely with the business to build a vision of Business Intelligence within the organization and plan a strategy for its successful adoption
• Work alongside senior business stakeholders to communicate this strategy and gain buy‑in
• Collaborate with other teams to innovate and push the boundaries of where insight can be gleaned
• Define a set of best practices and standards to create secure and performant data sources to support accurate and quick data insight
• Lead the creation of best‑of‑breed reporting, analytics and data visualization

Must haves

• Highly creative. Love data and more importantly the information that can be gained from it
• Strong technical background – ideally in previous roles as a software engineer/developer
• Strong mathematical background and ability to use statistical and other tools to build models for simulation and analysis
• Exposure to artificial intelligence computing, big data and understanding of tools and techniques for the same
• Ability to evaluate and select the right BI tools for integration with various platforms
• Strong technical skills in managing and using next generation data analytics and visualization tools
• Experience of managing a team of analysts using agile development methodologies

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About the role:

Responsible for the performance analysis (proactive and reactive), validation and reporting of AOCC operational data in order to support decision making for procedural and conceptual improvements. The job also enhances the monitoring of the AOCC personnel performance on OPS data handling and hard resources allocation actions, with the scope to achieve a deeper insight on the improvement capabilities. Furthermore, the job plays a key role on the transformation of the AOCC reporting scheme.

Key responsibilities

• Provide technical expertise to the information system team in major application deployment by assisting in designing process to arrive at high performance and optimal operational solutions.
• Develop consolidate operational dashboards, analyze and report of hard resources allocation related data and trends to the management team based on AOCC actions (real time vs planning, historic, etc.)
• Reduce manual operational jobs by ensuring automation of as many operational procedures for monitoring and supporting the day of operation responsibilities of AOCC.
• Develop supporting material and perform training to raise the data driven approach to decision making.
• Produce reports and analysis on internal performance of the AOCC department and AOCC personnel against the set KPls and other performance metrics. Ensure that this information is timely, accurate and highlights areas of opportunity or risk.
• To proactively research of operational issues to determine a source of data discrepancy or a trend and identify solutions for prevention of future discrepancy.
• Analyse information using various statistical methods, highlight patterns and trends within the data suggesting conclusions. Support Line Manager by designing and presenting conclusions gained from analyzing data using statistical tools.
• Develop statistical / supporting data as advised by the management through presentations, business cases and management information reports.
• Attend Daily/ Weekly/ Monthly meetings with managers to understand the business requirements. Meet with business to discuss operational projects briefing providing current and targeted data that will help the business to set the KPl's outlined by the management.
• Collaborate with other data analytics and reporting teams to improve overall operational reporting capability and identify opportunities for improvements using alternative data sources.
• Design; develop automated reporting using the available corporate applications. Capture, analyze and present the data.
• Provide guidance to the AOCC duty team on how to use applicable data & information management and reporting systems.
• Perform other department duties related to the position as directed by the Head of the Department

About you:

• Bachelor's Degree or Equivalent with Minimum 4 years of job-related experience.
• Experienced in Airport Operations.
• Experienced in the roles and concept of operations control Centres.
• Strong analytical and presentation skills
• Data Analysis.
• Data visualization
• Excellent knowledge of the Microsoft office suite.
• Excellent knowledge of Microsoft Power Bl.
• Knowledge on Airport Operations Systems (AOS).
• Knowledge on Airport Operational Database (AODB).
• Database Performance Tuning.
• Database Management.
• Software Development Fundamentals.
• Data Maintenance.
• Database Security.
• Process Improvement.
• System Administration.

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