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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+ days holiday, flexible working hours, and a supportive work environment.
- Why this job: Be part of a dynamic team that values collaboration and creativity in data-driven marketing.
- Qualifications: Degree in Computer Science or STEM, plus 3 years of relevant experience required.
- Other info: Hybrid working model with opportunities for personal and professional growth.
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 (City of London) employer: The Media Image
Contact Detail:
The Media Image Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (City of London)
✨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 with these will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Network with current or former employees of The Media Image on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which can be a great advantage during interviews.
✨Tip Number 3
Prepare to discuss your previous projects that involved data pipeline development and automation. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in data engineering and advertising data platforms. Being knowledgeable about industry developments can help you stand out in interviews and show your passion for the field, aligning with the company's values of data-driven excellence.
We think you need these skills to ace Data Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your Python development skills and any cloud-based data warehousing experience. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for scalable data architecture and automation. Mention specific projects where you've developed data pipelines or worked with cloud technologies, and explain how your experience aligns with the company's values and mission.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in SQL, experience with orchestration tools like Airflow, and familiarity with DBT or similar frameworks. Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Soft Skills: Don't forget to mention your strong communication skills and problem-solving attitude. The role requires collaboration with warehouse users, so demonstrating your ability to communicate complex technical concepts to non-technical users will be beneficial.
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. Practice articulating your thought process on how you would approach these situations, showcasing your analytical skills and adaptability.
