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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.
- 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 data-driven excellence.
- Qualifications: Degree in Computer Science or STEM, with 3 years of relevant experience required.
- Other info: Hybrid work model with flexibility around core hours; ideal for tech enthusiasts.
The predicted salary is between 36000 - 60000 £ 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
- Essential 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
- EAP: Yes
- Pension: 4% ER contribution
- Mat / Pat: Yes
- Medical: Yes (Discovery)
- Personal / Wellbeing days: 3 p/a
Data Engineer employer: The Media Image
Contact Detail:
The Media Image Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as BigQuery, Airflow, and DBT. Having hands-on experience or even personal projects showcasing these skills can set you apart from other candidates.
✨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 interviews.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and cloud technologies in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex technical concepts in simple terms. This is particularly important since you'll be working closely with non-technical users, and being able to bridge that gap will be a huge asset.
We think you need these skills to ace Data Engineer
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.
Showcase Relevant Projects: If you have worked on projects involving advertising data or cloud technologies, include these in your application. Detail your role, the technologies used, and the impact of your work to illustrate your capabilities.
Highlight Soft Skills: In addition to technical skills, emphasise your problem-solving attitude, communication skills, and ability to thrive in a dynamic environment. These traits are essential for collaboration and success in the role.
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. Bring examples of past projects where you've developed data pipelines or worked with orchestration tools like Airflow.
✨Understand the Company’s Values
Familiarise yourself with The Media Image's core values 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
Expect questions that assess your problem-solving skills and ability to work in a dynamic environment. Think of specific scenarios where you've successfully tackled challenges related to data architecture or automation.
✨Demonstrate Communication Skills
Since the role involves collaboration with warehouse users, practice explaining complex technical concepts in simple terms. Highlight any experience you have in creating documentation or conducting training sessions for non-technical users.
