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- Tasks: Design and build data pipelines for automated advertising data collection and processing.
- Company: Join The Media Image, a global digital marketing agency known for innovation and excellence.
- Benefits: Enjoy 25+1 holiday days, flexible working hours, and personal wellbeing days.
- Why this job: Be part of a dynamic team that values collaboration, creativity, and data-driven results.
- 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 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 in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage 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, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your passion for data engineering by staying updated on industry trends and best practices. Mention any relevant online courses, certifications, or workshops you've completed, as this reflects your commitment to continuous learning and professional growth.
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. Highlight your role, the technologies used, and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer 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. 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 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
Think about how you would handle real-world scenarios related to advertising data and platform APIs. Practice articulating your thought process and decision-making in these situations.
