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- Tasks: Design and implement data management systems, develop ETL processes, and build insightful dashboards.
- Company: Join a leading tech company focused on enhancing business messaging experiences.
- Benefits: Competitive pay, collaborative environment, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving strategic decisions with data and innovative solutions.
- Qualifications: 5+ years in SQL and Python, strong analytical skills, and a degree in a technical field.
- Other info: Work closely with cross-functional teams and own projects from design to deployment.
Location: London, UK
Length: 6 Months
Rate: £45.19 – £50.00 p/h
Hours: 9am-6pm
Overview: Our client is seeking a highly skilled Data Engineer to develop, evaluate, test, and maintain scalable data solutions that drive strategic business outcomes. You will work closely with cross-functional teams to improve processes, build robust data pipelines, and deliver insightful dashboards that support key decision-making within their Business Messaging Experiences team.
Responsibilities:
- Design and implement scalable data management systems.
- Develop ETL processes and high-performance data algorithms.
- Build and maintain dashboards to visualize insights and track trends.
- Collaborate with cross-functional teams (DE, DS, Product, Engineering) to identify process and data improvements.
- Own projects end-to-end — from design to deployment.
- Create technical design documentation and participate in regular reviews.
Skills and Experience:
- SQL: 5+ years of hands-on experience.
- Python: 5+ years of experience developing data pipelines and solutions.
- ETL & Data Modelling: Strong understanding of best practices and optimization techniques.
- Data Visualization: Ability to design dashboards that effectively communicate complex insights.
- Analytical Thinking: Strong problem-solving skills and attention to detail.
- Communication: Excellent collaboration and stakeholder management skills.
- Bachelor’s degree in a technical/STEM field.
- Experience in large-scale consumer tech or product-focused companies (e.g., Monzo, Deliveroo).
- Master’s degree in a technical or quantitative field.
- Familiarity with in-house browser analytics and business messaging products.
- Big Tech, Fintech, or other Product-led organizations.
- Strong product sense.
- Strategic mindset.
Team & Project Insights:
- Team Structure: 4 Data Engineers based in London.
- Manager: Contractor will report directly to the hiring manager.
- Collaboration: Frequent interaction with partner Monetization teams, Data Scientists, Product Managers, and Engineers.
- Work on the “Non-Supply” pillar (e.g., authentication, utility, marketing messages).
- Develop measurement tools for in-app browser performance.
- Build pipelines, data models, and dashboards.
- Identify and address data gaps.
62248-1 – Data Engineer employer: Career Moves Group
Contact Detail:
Career Moves Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 62248-1 – Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL and Python. Having hands-on experience with these will not only boost your confidence but also demonstrate your capability to hit the ground running.
✨Tip Number 2
Network with current or former employees of the company, especially those in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've designed and implemented data management systems or built dashboards. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your analytical thinking and problem-solving skills by preparing examples of how you've identified and addressed data gaps in previous roles. This will highlight your ability to contribute effectively to cross-functional teams.
We think you need these skills to ace 62248-1 – Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in SQL, Python, and ETL processes. Emphasise any projects where you've designed scalable data management systems or built dashboards.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the responsibilities outlined in the job description. Mention specific experiences that demonstrate your analytical thinking and problem-solving abilities.
Showcase Collaboration Skills: Since the role involves working closely with cross-functional teams, include examples of past collaborations in your application. Highlight how you effectively communicated with stakeholders and contributed to team projects.
Highlight Relevant Education: If you have a Bachelor’s or Master’s degree in a technical or quantitative field, make sure to mention it prominently. This will help demonstrate your foundational knowledge and suitability for the role.
How to prepare for a job interview at Career Moves Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you've developed data pipelines or implemented ETL processes, as this will demonstrate your hands-on expertise.
✨Demonstrate Analytical Thinking
Expect questions that assess your problem-solving abilities. Prepare examples of how you've tackled complex data challenges in the past, focusing on your analytical approach and the outcomes of your solutions.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your communication skills.
✨Understand the Business Context
Research the company’s products and services, especially in relation to business messaging. Being able to connect your technical skills to their strategic goals will show that you have a strong product sense and are aligned with their mission.
