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- Tasks: Build and maintain data pipelines for marketing platforms and develop machine learning models.
- Company: Dynamic digital marketing agency in North Leeds with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a passionate team and make an impact in the world of data and marketing.
- Qualifications: Proficient in Python and SQL, with a passion for data and analytics.
- Other info: Exciting projects and a collaborative environment await you!
The predicted salary is between 36000 - 60000 £ per year.
Location & Schedule: North Leeds – Hybrid – 3 days a week
About the role: As a Data Engineer you’ll join a small analytics team and play an important role delivering a wide range of projects for clients and internal teams. Our solutions-based team acts in bringing data together with multiple sources into centralised datasets to build models for the digital marketing client base.
What you’ll be doing day to day:
- Build and maintain data pipelines to integrate marketing platform APIs (Google Ads, Meta, TikTok, etc.)
- Develop and optimise SQL queries and data transformation in BigQuery and AWS
- Design and implement data models, combining first-party customer data with marketing performance data
- Develop, test and deploy machine learning models
- Create technical documentation including diagrams, data dictionaries, and implementation guides to enable team knowledge sharing and project handovers
- Support the BI and Analytics team members by creating reusable data sets
About you: To be considered for this Data Engineer role you must have a passion for all things Data, Marketing, Modelling and Analytics.
What we’re looking for:
- Proficient skill set within Python for building APIs, scripting and maintaining complex data/ML codebases
- Strong skill set within SQL and experience using tools such as BigQuery
- Working experience with Docker and knowledge of Linux to manage local dev containers, services, and cloud deployments
- Confidence to take lead upon client and internal meetings
- Experience within MLOps workflow, Python ML frameworks, Apache Beam would be beneficial
- Digital Marketing Agency experience (not essential)
You must be able to commute to Leeds, 3 days a week.
Data Engineer (Marketing) in Leeds employer: ThePlaceToBe
Contact Detail:
ThePlaceToBe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Marketing) in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving marketing platforms like Google Ads or TikTok. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. We might throw some technical questions your way, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Engineer (Marketing) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any relevant marketing projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include examples of data pipelines or models you've built in the past. If you've worked with APIs like Google Ads or Meta, let us know! This will help us understand your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're passionate about data and how you can contribute to our analytics team. We appreciate straightforward communication!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ThePlaceToBe
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss how you've built and maintained data pipelines in the past, and have examples of your work with APIs like Google Ads or Meta at your fingertips.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Think about times when you had to optimise SQL queries or develop machine learning models, and be ready to explain your thought process.
✨Familiarise Yourself with the Company’s Projects
Do a bit of homework on the types of projects the company has worked on. Understanding their client base and the marketing strategies they employ will help you tailor your answers and show that you're genuinely interested in the role.
✨Practice Your Communication Skills
Since you'll be leading client and internal meetings, practice explaining complex data concepts in simple terms. Being able to communicate effectively with both technical and non-technical stakeholders is key, so think about how you can demonstrate this during the interview.
