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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 innovative business messaging solutions.
- Benefits: Competitive pay, collaborative environment, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving impactful data solutions in a fast-paced industry.
- 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. Being able to discuss your experience with these languages in detail during interviews will demonstrate your technical proficiency.
✨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 when discussing your fit for the role.
✨Tip Number 3
Prepare examples of past projects where you've successfully built data pipelines or dashboards. Be ready to explain your thought process and the impact of your work on business outcomes, as this aligns closely with the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your analytical thinking and problem-solving skills by discussing challenges you've faced in previous roles and how you overcame them. This will highlight your ability to contribute to cross-functional teams and improve processes, which is crucial for this position.
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 experience with SQL, Python, and ETL processes. Include specific examples of data pipelines you've developed and any dashboards you've created that demonstrate your ability to visualise complex insights.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical thinking and problem-solving skills. Mention your experience in large-scale consumer tech or product-focused companies, and how it aligns with the responsibilities of the Data Engineer role.
Showcase Collaboration Skills: Since the role involves working closely with cross-functional teams, provide examples in your application of how you've successfully collaborated with different stakeholders in previous projects. Highlight your communication skills and ability to manage relationships.
Highlight Relevant Education: Ensure you mention your educational background, especially if you have a Bachelor’s or Master’s degree in a technical or quantitative field. This will strengthen your application and show that you meet the basic qualifications 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 attention to detail.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to discuss how you've worked with cross-functional teams and managed stakeholder expectations in previous positions.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions that may involve designing data management systems or building dashboards. Think through your thought process and be ready to explain your decisions and the rationale behind them.
