At a Glance
- Tasks: Create reliable datasets that drive data-informed decisions across The Guardian.
- Company: Join a leading media organisation committed to diversity and innovation.
- Benefits: 30 days annual leave, generous pension, private healthcare, and flexible working options.
- Other info: Hybrid work environment with opportunities for personal and professional growth.
- Why this job: Make an impact by transforming raw data into valuable insights for various teams.
- Qualifications: Experience with modern data stacks and strong SQL skills required.
The predicted salary is between 45000 - 55000 € per year.
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.
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-
The Guardian is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for the Analytics Engineer role. With a commitment to employee wellbeing, generous benefits including 30 days of annual leave, and a strong focus on professional development, employees are empowered to thrive in a supportive environment. Located in Kings Cross, the hybrid working model allows for flexibility while being part of a pioneering media organisation that values diversity and innovation.
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 landing the Analytics Engineer role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to discuss how you've used tools like dbt, Airflow, and Tableau in past projects. Show us you know your stuff!
✨Tip Number 3
Don’t just focus on technical skills; be prepared to talk about how you’ve collaborated with teams like Marketing and Finance. We want to see that you can communicate complex ideas clearly to non-technical folks.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of our team at The Guardian.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with the modern data stack. Mention specific tools like dbt, Google Cloud Platform, and SQL to show us you’re the right fit for the Analytics Engineer role.
Showcase Your Data Skills:Don’t just list your skills; demonstrate them! Include examples of how you've designed data models or built ELT pipelines. We want to see your analytical prowess in action, so share any relevant projects or achievements.
Communicate Clearly:Since you'll be working with various teams, it’s crucial to convey complex ideas simply. Use clear language in your application to show us you can bridge the gap between technical and non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the role!
How to prepare for a job interview at Guardian-News-
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description, like dbt, Google Cloud Platform, and Airflow. Brush up on how these tools work together to create efficient ELT pipelines, as you might be asked to discuss your experience with them during the interview.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess by discussing complex queries you've written or optimised. Be ready to explain the performance implications of your designs and how you ensure data quality and accuracy in your models.
✨Communicate Clearly
Since you'll be working with various teams, practice explaining technical concepts in simple terms. Think about examples where you’ve successfully communicated complex data issues to non-technical stakeholders, as this will highlight your ability to bridge the gap between tech and business.
✨Understand Governance and Compliance
Familiarise yourself with data governance policies and compliance regulations relevant to the role. Be prepared to discuss how you’ve implemented these in past projects, ensuring that your data models adhere to privacy and security standards.