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- Tasks: Design and build data pipelines for automated advertising data collection.
- Company: Join The Media Image, a global digital marketing agency known for innovation and excellence.
- Benefits: Enjoy 25+1 days holiday, flexible working hours, and personal wellbeing days.
- Why this job: Be part of a dynamic team that values collaboration and creativity in a fast-paced environment.
- Qualifications: Degree in Computer Science or STEM, with 3 years of relevant experience and strong Python skills.
- Other info: Hybrid work model with flexibility around core hours; ideal for tech-savvy problem solvers.
The predicted salary is between 28800 - 48000 £ per year.
The Media Image is an independent, global and agile full-funnel digital marketing agency. We are award-winning and proven across many markets and serve a broad spectrum of clients across the e-commerce, financial, iGaming, skincare, beauty and online grocery sectors in the US, UK and EMEA regions. We work by the values of Unity, Proactive Partnerships, Inclusive Collaboration, Data-Driven Excellence and Supporting Authenticity. We consider ourselves a market disruptor, providing best-in-class results with a unique approach.
This role involves designing and building a unified platform to automate advertising data collection and processing. You will be instrumental in designing, developing and maintaining robust data pipelines that power automated reporting and analytics for advertising performance across multiple platforms and clients. Key responsibilities include data pipeline development, data warehousing & transformation workflow development. This role is ideal for someone with a passion for scalable data architecture, automation and cloud technologies. You will work closely with warehouse users to ensure data structures are intuitive, efficient and aligned with desired use-cases.
Role Requirements
- Degree in Computer Science or another related STEM field.
- 3 years of experience working in a similar role.
- Strong Python development skills, particularly for developing and testing data pipelines.
- Experience with cloud-based data warehousing (BigQuery preferred).
- Hands-on experience with orchestration tools (preferably Airflow).
- Proficient in SQL and data modelling best practices.
- Experience with DBT or other modern data transformation frameworks.
- Ability to use a version control system (e.g. git) for code management and collaboration.
- Proficiency in efficiently extracting data from third-party APIs.
- Strong troubleshooting, documentation and communication skills.
Desirable
- Experience working with advertising data and platform APIs (Google Ads, Microsoft, Meta, etc.).
- Prior exposure to GCP-specific data tools.
- Experience setting up and maintaining CI/CD pipelines through GitHub Actions or other similar tools.
- Familiarity with Infrastructure as Code (Terraform or similar).
- Experience in building out automated testing suites to ensure proper reliability/functionality of the codebase.
- Experience creating technical documentation and conducting training sessions to help non-technical users adopt tooling.
- Knowledge of securing sensitive data, especially when dealing with third-party APIs.
About you
- Thrive in a dynamic, remote environment.
- High competency in Excel, Word and PowerPoint.
- Take initiative.
- Problem-solving attitude.
- Willingness to learn.
- “Can-do” attitude.
- Analytical, numerate aptitude.
- Strong English communication skills, written and verbal.
About our benefits
- Holiday: 25 +1 p/a worked
- EAP: Yes
- Pension: 4% ER contribution
- Mat / Pat: Yes
- Medical: Yes (Discovery)
- Personal / Wellbeing days: 3 p/a
Data Engineer (London Area) employer: The Media Image
Contact Detail:
The Media Image Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and cloud-based data warehousing like BigQuery. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Network with current or former employees of The Media Image on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interviews.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and automation in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your passion for data architecture and automation by discussing any personal projects or contributions to open-source initiatives. This not only highlights your skills but also your enthusiasm for the field, which is something we value at StudySmarter.
We think you need these skills to ace Data Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Emphasise your Python development skills, cloud-based data warehousing experience, and any work with orchestration tools like Airflow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for scalable data architecture and automation. Mention specific projects or experiences that demonstrate your ability to design and maintain robust data pipelines.
Highlight Relevant Projects: If you have worked on projects involving advertising data or cloud technologies, be sure to include these in your application. Detail your role and the impact of your contributions to show your hands-on experience.
Showcase Soft Skills: In addition to technical skills, highlight your problem-solving attitude and strong communication skills. Provide examples of how you've collaborated with teams or helped non-technical users understand complex data concepts.
How to prepare for a job interview at The Media Image
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud-based data warehousing. Highlight specific projects where you've developed data pipelines or worked with orchestration tools like Airflow.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare examples of challenges you've faced in previous roles and how you resolved them, particularly in relation to data architecture and automation.
✨Familiarise Yourself with the Company’s Values
Understand the core values of The Media Image, such as Unity and Data-Driven Excellence. Be ready to explain how your personal values align with theirs and how you can contribute to their mission.
✨Prepare for Scenario-Based Questions
Think about potential scenarios related to advertising data and platform APIs. Be ready to discuss how you would approach these situations, showcasing your analytical skills and ability to work with non-technical users.
