Senior Data Engineer

Canon EMEA is looking for a talented Data Engineer to take ownership of the design, development, and maintenance of robust data pipelines and cloud-based infrastructure across Google Cloud Platform (GCP) and Microsoft Azure.

In this role, you will play a key part in ensuring seamless data integration and accessibility, enabling Canon's ITCG Marketing, eCommerce, and CRM teams to make data-driven decisions and deliver impactful customer and commercial initiatives.

This is an opportunity to join a globally recognised brand where your expertise will directly support marketing effectiveness, customer engagement, and business performance across the EMEA region.

At Canon, we’ve been inspiring people to capture and share their world for over 85 years. As a global leader in imaging and innovation, we’re driven by bold ideas, collaboration, and a commitment to making a positive impact.

With a strong presence across EMEA for over 60 years, our regional HQs in London and Amstelveen support operations in 120+ markets. We’re proud of our diverse, inclusive culture and our philosophy of Kyosei – living and working together for the common good.

Why Join Us?

Be part of a diverse, energetic team, joining 50+ nationalities at our EMEA HQ

Enjoy hybrid working (3 days in office, 2 from home)

Benefit from flexible hours, professional development, and a wide range of perks

Minimum of 25 days of personal holiday per year with up to 5 days of available holiday purchase

Access a competitive salary, wide-ranging benefits, a generous pension scheme and up to 38% discount on Canon products

Be part of a company that values sustainability, inclusion, and your personal growth

Great transport links- Elizabeth Line and Stockley Park low-cost Shuttle Bus and free parking on site

If you’re visionary, innovative, and ready to make an impact – we’d love to hear from you.

With Canon, you'll get the support and encouragement you need to grow from people who share your ambition. We'll invest in your professional development to help you learn and progress in your role with us. You'll find leaders who give you the freedom to explore new things and a team where knowledge is shared openly.

At Canon we have a clear vision: to be committed to creating a more inclusive and equitable culture where employees are valued and can thrive personally and professionally.

Canon also has a strong commitment to sustainability, encompassed by our Kyosei philosophy of living and working together for the common good, focused on reducing our environmental impact and creating opportunities to make positive social contribution.

Excellent SQL skills

Understanding of data warehousing, data modelling concepts and structuring new data tables

Knowledge of cloud-based data warehousing (Google BigQuery)

Experience developing in a BI tool (Power BI or similar)

Python or R proficiency, particularly in areas of automation and integrations

Canon Core Behaviours

Drive for results

Focus on the Customer

Take ownership and accountability

Act as a team player

Shows courage and conviction

People orientated

Caring for self and others

Salary is between £49,091 - £58,441 + 10% bonus and benefits depending on experience and skills.

Design, build, and maintain collections of sophisticated data pipelines, models and visualisations that integrate marketing and sales data with other internal and external data sources in Google BigQuery and Power BI to support Canon’s ITCG marketing, ecommerce and CRM team initiatives.

Perform exploratory analysis using Python/R and SQL to uncover trends, anomalies, and business opportunities in ITCG digital marketing and sales data and present back insights and recommendations to key stakeholders.

Create, present and maintain dashboards and ad-hoc reports in Power BI based on requirements gathered from key stakeholders to deliver actionable insights and support data-driven decisions.

Identify and automate repetitive data tasks, workflows, and processes to improve efficiency and reduce manual data handling utilising Google Cloud and Microsoft Azure platforms.

Develop and optimise data models that support scalable and efficient data storage, processing, and retrieval within Google Cloud and Microsoft Azure platforms.

Implement data validation and cleansing processes to ensure data accuracy and reliability before it's used in downstream systems and collaborate with IT on upstream changes required.