At a Glance
- Tasks: Design and implement customer data solutions for personalised experiences.
- Company: Join a forward-thinking company focused on data-driven innovation.
- Benefits: Enjoy a competitive salary, hybrid work model, and professional growth opportunities.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Make a real impact by shaping customer experiences with cutting-edge data solutions.
- Qualifications: Expertise in data engineering, cloud platforms, and modern integration frameworks required.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Engineer who will design and implement customer data solutions that enable personalised experiences while ensuring privacy, quality, and accessibility of customer information across all touchpoints.
Length: 12 months
Location: London, UK
Environment: Hybrid - 2-3 days in the office
Key responsibilities:
- Leading engineering decisions for customer data, including infrastructure, APIs and data pipelines
- Defining & delivering company's identity customer 360 solutions, ensuring seamless integration across different customer-facing platforms
- Architecting and implementing real-time data integration
- Designing and enforcing consent and preference management systems in compliance with GDPR and other relevant data privacy regulations
- Collaborating closely with MarTech and Digital teams to ensure smooth and efficient data flow from backend systems to marketing and engagement platforms
What is required to be successful in this role:
- Deep expertise in data engineering, including real-time data processing, API design and distributed systems
- Strong proficiency with cloud platforms (e.g. AWS, GCP, Azure), infrastructure-as-code, and scalable architecture patterns
- Hands-on experience with SQL, Python, and modern data integration frameworks such as Apache Kafka, airflow or dbt
- Proven ability to deliver enterprise-grade customer data solutions, including customer data platforms and or API based integration
- Excellent project management skills to lead complex, cross-functional technical implementations from concept to deployment
- Understanding of digital marketing and CRM systems is a plus
Engineer, Data in London employer: Morson Edge
Join a forward-thinking company in London that prioritises innovation and employee development, offering a hybrid work environment that promotes work-life balance. As a Data Engineer, you will be part of a collaborative culture that values your expertise and provides opportunities for growth through challenging projects and continuous learning. With a focus on cutting-edge technology and compliance with data privacy regulations, this role not only enhances your skills but also contributes to creating personalised customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer, Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving real-time data processing or API design. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts related to cloud platforms and data integration frameworks. Practice explaining your past projects and how they align with the responsibilities of the Data Engineer role.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Engineer, Data in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with real-time data processing and API design. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to creating personalised experiences for our customers. Keep it engaging and relevant to the role.
Showcase Your Technical Skills:We’re looking for deep expertise in cloud platforms and modern data integration frameworks. Make sure to mention your hands-on experience with SQL, Python, and any tools like Apache Kafka or Airflow that you’ve worked with. This is your moment to impress us!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Morson Edge
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around real-time data processing and API design. Be ready to discuss specific projects where you've implemented customer data solutions, as this will show your hands-on experience.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the cloud platforms mentioned in the job description, like AWS, GCP, or Azure. If you’ve worked with tools like Apache Kafka or Airflow, be prepared to share how you used them in past projects.
✨Understand GDPR and Data Privacy
Since the role involves consent and preference management systems, it’s crucial to understand GDPR and other data privacy regulations. Be ready to discuss how you’ve ensured compliance in previous roles or projects.
✨Show Your Collaborative Side
This position requires working closely with MarTech and Digital teams, so highlight any experience you have in cross-functional collaboration. Share examples of how you’ve facilitated smooth data flow between backend systems and marketing platforms.
