Junior Data Engineer

Canonical; Murcia; A distancia; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

Canonical is looking for a Junior Data Engineer to join its innovative marketing team. The role emphasizes data analysis, technology adoption, and problem-solving in a fully remote environment. Ideal candidates will have a background in data sciences and be skilled in various analytics and visualization tools, passionate about technology and continuous improvement.

Servicios

Fully remote working environment

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

Annual compensation review

Recognition rewards

Annual holiday leave

Parental leave

Employee Assistance Programme

Opportunities to travel for team sprints and meetings

Travel perks for company events

Formación

• Knowledge of advanced statistics and data sciences is essential.
• Strength in coding/scripting languages such as Python and JS is required.
• Ability to analyze and synthesize findings effectively.

Responsabilidades

• Utilize advanced data analytics for product adoption and market penetration.
• Design and conduct experiments with data and visualization.
• Collaborate with stakeholder teams to improve data access.

Conocimientos

Data analytics

Data visualization

Problem solving

Collaboration

Curiosity

Educación

Background in data science, mathematics, actuarial science, or engineering

Herramientas

Looker Studio

Tableau

Apache Superset

Python

JS

SQL

Descripción del empleo

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 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 looking for a marketing data analyst to join our team and execute 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 emphasizes ownership of campaigns, collaboration, learning, curiosity, and a drive to continually improve oneself, the team, and the organization. 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 reports to the Growth Engineering Manager and is based remotely in the EMEA region.

What your day will look like

1. Utilize advanced data analytics to grow Canonical's product adoption and market penetration.
2. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes.
3. Design and conduct experiments with data, visualization, and insights into Canonical's target audiences.
4. Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc.) to improve the data and tool ecosystem.
5. Implement 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 visualization tools (Looker Studio, Tableau, Apache Superset, etc.).
• Ability to translate business questions into key research objectives.
• Ability to identify the best methodology to execute research, synthesize, and analyze findings.
• Excellent writing and communication skills.
• Willingness to examine the status quo and resilience in the face of challenges.

What we offer you

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

We provide additional benefits reflecting our values and ideals, which may vary depending on work location. For more details, ask during the recruitment process.

Benefits include:

• 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.
• Opportunities to travel for team sprints and meetings.
• Travel perks for company events.

About Canonical

Canonical is a pioneering tech firm leading the open source movement. As the publisher of Ubuntu, a major open source platform for AI, IoT, and cloud, we are changing the world daily. We recruit globally and uphold high standards of excellence.

Since 2004, Canonical has been a remote-first company. Working here means thinking differently, working smarter, learning new skills, and advancing your career. We offer a unique window into digital business of the 21st century.

Canonical is an equal opportunity employer, committed to fostering a diverse and inclusive workplace. We consider all applications fairly, regardless of background or identity.