At a Glance
- Tasks: Develop and maintain data architectures and solutions for a leading tech company.
- Company: Join a Big4 Tech Company in the heart of London, known for innovation and excellence.
- Benefits: Enjoy a hybrid work model with 3 days onsite and 2 days remote, plus competitive perks.
- Other info: Contract position lasting until August 2026, perfect for those seeking long-term opportunities.
- Why this job: Be part of a dynamic team, working on cutting-edge data projects that drive real impact.
- Qualifications: Bachelor's degree in a technical field and strong communication skills are essential.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Job Title: Data Engineer
Location: London, Hybrid
As a Data Engineer, you will design, build, and maintain a modern cloud-based data platform. You will develop robust, secure, and scalable data pipelines, ensure high-quality and compliant data, and collaborate with analytics and architecture teams to support business insights.
Key Responsibilities:
- Build and maintain industrial-grade ELT pipelines to ingest, transform, and harmonise data from multiple sources.
- Deploy and industrialise cloud-based data platforms across build and run phases.
- Implement layered data architectures to structure, govern, and optimise data flows.
- Ensure data quality, lineage, and compliance with relevant regulations.
- Monitor and optimise platform performance, scalability, and security.
- Collaborate with data analysts and architects to deliver reliable datasets.
- Document processes and contribute to knowledge transfer for long-term operational autonomy.
- 5+ years as a Data Engineer or similar role.
- Strong SQL and data modeling skills.
- Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks).
- Proficiency with ELT tools (dbt, Fivetran, Matillion) and orchestration frameworks (Airflow, Prefect).
Data Engineer - Morgan McKinley in London employer: Morgan McKinley
Join a leading Big4 Tech Company in London, where innovation meets opportunity! As a Data Engineer, you'll thrive in a dynamic work culture that values collaboration and creativity, with the flexibility of 3 days onsite and 2 days working from home. With a strong focus on employee growth, you'll have access to cutting-edge projects and professional development resources, making this an ideal environment for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Morgan McKinley in London
✨Tip Number 1
Familiarise yourself with the specific data management systems and ETL processes mentioned in the job description. Being able to discuss your experience or knowledge of these systems during an interview will show that you're well-prepared and genuinely interested in the role.
✨Tip Number 2
Network with current or former employees of the Big4 Tech Company. Reach out on platforms like LinkedIn to gain insights about the company culture and expectations for the Data Engineer role, which can help you tailor your approach during interviews.
✨Tip Number 3
Brush up on your communication skills, as the role requires excellent verbal and presentation abilities. Practising how to explain complex data concepts in simple terms can set you apart from other candidates.
✨Tip Number 4
Prepare examples of past projects where you've successfully collaborated with teams, especially in technical environments. Highlighting your teamwork skills will demonstrate that you can work effectively with data architects and IT team members, which is crucial for this position.
We think you need these skills to ace Data Engineer - Morgan McKinley in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Focus on your technical expertise, particularly in data management systems and ETL processes.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data engineering and your understanding of the company's needs. Mention specific projects or experiences that demonstrate your ability to design and maintain scalable data solutions.
Highlight Team Collaboration:Emphasise your ability to work both independently and as part of a team. Provide examples of past collaborations with data architects or IT teams to illustrate your teamwork skills.
Showcase Communication Skills:Since excellent communication is key for this role, include instances where you've effectively communicated complex data concepts to non-technical stakeholders. This will demonstrate your ability to present ideas clearly.
How to prepare for a job interview at Morgan McKinley
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management systems and ETL processes. Highlight specific projects where you've designed or maintained scalable data architectures, as this will demonstrate your technical expertise.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex technical concepts in simple terms. This will help you connect with the interviewers and show that you can collaborate effectively with team members.
✨Prepare for Teamwork Questions
Expect questions about your ability to work both independently and as part of a team. Think of examples from your past experiences where you successfully collaborated with others or took initiative on a project.
✨Research the Company Culture
Understanding the company’s values and culture is crucial. Look into Morgan McKinley and their approach to data engineering. Tailor your responses to reflect how your personal values align with theirs, especially regarding innovation and teamwork.
