At a Glance
- Tasks: Join us to create reliable datasets that drive impactful decisions across The Guardian.
- Company: Be part of a diverse team at a leading media organisation committed to fearless journalism.
- Benefits: Enjoy 30 days annual leave, generous pension contributions, and private healthcare.
- Other info: Flexible working arrangements and a focus on personal growth await you.
- Why this job: Make a real difference in journalism while developing your skills in a supportive environment.
- Qualifications: Experience with modern data stacks and strong SQL skills are essential.
The predicted salary is between 45000 - 55000 € per year.
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.
We're looking for a motivated Analytics Engineer with experience working on a modern data stack (think dbt, Google Cloud Platform, Fivetran, Airflow, and Tableau) to create the reliable, governed datasets that power data-informed decisions across The Guardian. You’ll be partnering with teams like Marketing, Advertising, Editorial, and Finance to give them the data they need, faster. In this role, you'll ensure our data models are high quality, resilient, and well-governed. Working closely with Data Product Managers, Data Platform Engineers, and your fellow Analytics Engineers, you'll turn raw data into curated, easy-to-use datasets for analysts and our internal data applications.
About the Role
- Data Modelling and Transformation: Design and implement conceptual, logical, and physical data models, using SQL and dbt to build cost-efficient and maintainable ELT pipelines scheduled with Apache Airflow.
- Data Quality Assurance: Implement and monitor testing metrics (completeness, accuracy, validity, timeliness) and collaborate with data owners/stewards to quickly identify and resolve quality incidents.
- Requirements Gathering and Delivery: Work closely with data users to determine functional and non-functional requirements and deliver new and existing data products within an agile framework.
- Documentation and Governance: Collaborate with Data Governance, Analysts, and Software Engineers to ensure comprehensive documentation of source data, business logic, transformation lineage, and metadata is available.
- Compliance: Model data strictly according to policies for data privacy, protection, security, and broader governance and regulatory frameworks.
About You
- You have experience designing and building optimised data models using established methodologies (e.g. Kimball) in a consumer-orientated organisation.
- You are skilled in business analysis and requirement gathering, translating business objectives into effective model designs.
- You can write complex, analytical SQL for ELT pipelines, with a strong understanding of performance implications, modularisation, and idempotence.
- You have experience with the modern data stack (e.g., BigQuery, Airflow, DBT, Fivetran, Tableau, Git).
- You communicate effectively, both verbally and in writing, to explain complex or technical concepts to a variety of stakeholders, including non-technical colleagues.
We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds.
How to apply
To apply, please upload your latest CV and a cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Friday 29th May 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs.
Benefits at the Guardian
- You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days.
- Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age).
- We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving.
- Season ticket loans are also available.
- You are entitled to private healthcare, life cover, income protection, and eye tests.
- You can also opt in to dental insurance.
- We have enhanced maternity, paternity, adoption and shared parental leave policies in place.
- We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.
Culture and wellbeing
We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.
Learning and development
We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Analytics Engineer employer: GUARDIAN NEWS AND MEDIA
At the Guardian, we pride ourselves on being an exceptional employer that champions diversity and inclusivity within a dynamic and supportive work environment. Our commitment to employee growth is reflected in our comprehensive benefits package, including generous annual leave, a robust pension scheme, and tailored wellbeing initiatives, all designed to empower our staff to thrive both personally and professionally. With a hybrid working model based in Kings Cross, we offer a unique opportunity to contribute to impactful journalism while enjoying a flexible and fulfilling career.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at The Guardian on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you insights that make you stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you're applying for an Analytics Engineer role, be ready to discuss your experience with SQL, dbt, and data modelling. Practise explaining complex concepts in simple terms – it’ll show you can communicate effectively with non-technical folks too!
✨Tip Number 3
Show your passion for journalism and data! Research The Guardian’s recent projects and think about how your skills can contribute. Bring this knowledge into your conversations during interviews to demonstrate your genuine interest in the role and the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team. Good luck, and we can’t wait to see your application!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with the modern data stack and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about this role at The Guardian and how your background makes you a great fit. Be genuine and let your personality come through – we love that!
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in SQL, dbt, and data modelling. We’re keen to see how you’ve used these tools in past roles, so give us some examples of your work and achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at The Guardian!
How to prepare for a job interview at GUARDIAN NEWS AND MEDIA
✨Know Your Data Stack
Familiarise yourself with the modern data stack mentioned in the job description, like dbt, Google Cloud Platform, and Airflow. Be ready to discuss your experience with these tools and how you've used them to create reliable datasets in previous roles.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or optimise a query on the spot, so brush up on writing complex analytical SQL and be ready to explain your thought process.
✨Communicate Clearly
Since you'll be working with various teams, practice explaining technical concepts in simple terms. Think about how you can convey complex ideas to non-technical colleagues, as effective communication is key in this role.
✨Emphasise Collaboration
Highlight your experience working in cross-functional teams. Be prepared to share examples of how you've collaborated with data owners, product managers, and engineers to deliver high-quality data products that meet user needs.