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- Tasks: Design and build robust data platforms and pipelines while collaborating with data scientists and analysts.
- Company: Join a large global IT consultancy solving tech problems for enterprise clients.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge data solutions in a dynamic environment.
- Qualifications: Experience in data engineering, strong SQL skills, and familiarity with cloud platforms.
- Other info: Great opportunity for career advancement and technical leadership.
Lynx are currently working with a large IT consultancy to help them source a Data Engineer. Our client is a large global Consultancy who work with enterprise clients, solving their business and technology problems using cutting edge solutions.
As a Data Engineer, you will play a key role in designing, building, and maintaining robust data platforms and pipelines. You'll work alongside data scientists, analysts, and engineers to ensure reliable, scalable, and high-quality data solutions.
What you'll be doing:
- Designing and building data pipelines, models, and architectures
- Developing and maintaining ETL/ELT processes using modern tools
- Implementing data storage solutions across relational, non-relational, and cloud platforms
- Ensuring data quality, reliability, and operational excellence
- Leading the design and delivery of new data products and pipelines
- Collaborating closely with stakeholders and technical teams
- Providing technical leadership and mentoring within delivery teams
What they're looking for:
- Strong experience in data engineering roles
- Proven leadership or line management experience
- Hands-on experience with cloud platforms (AWS or Azure; GCP beneficial)
- Strong SQL skills and experience with relational databases
- Python development experience and familiarity with frameworks (e.g. Flask, Django)
- Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo)
- Exposure to big data technologies (e.g. Spark, Kafka, Hadoop)
- Experience working in Agile environments
- Solid understanding of data architecture and data quality best practices
Data Engineer in London employer: Lynx Recruitment Limited
Contact Detail:
Lynx Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at consultancies or have experience in data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This is your chance to demonstrate your hands-on experience with tools like Python, SQL, and cloud platforms.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you would tackle real-world problems using ETL processes or big data technologies. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant cloud platforms like AWS or Azure. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Show Off Your Projects: If you've worked on any cool data projects, don’t forget to mention them! Whether it's building a data pipeline or using big data technologies, showcasing your hands-on experience can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being considered. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Lynx Recruitment Limited
✨Know Your Data Inside Out
Before the interview, brush up on your data engineering knowledge. Be ready to discuss your experience with designing and building data pipelines, as well as your familiarity with ETL/ELT processes. Make sure you can explain how you've ensured data quality and reliability in past projects.
✨Show Off Your Technical Skills
Prepare to demonstrate your hands-on experience with cloud platforms like AWS or Azure. Have examples ready that showcase your SQL skills and Python development experience. If you've worked with frameworks like Flask or Django, be sure to mention specific projects where you applied these technologies.
✨Collaboration is Key
Since you'll be working closely with data scientists and analysts, think of examples that highlight your collaborative skills. Be ready to discuss how you've led teams or mentored others in previous roles, and how you’ve successfully communicated technical concepts to non-technical stakeholders.
✨Stay Agile and Adaptable
Familiarise yourself with Agile methodologies, as this role may require you to work in such environments. Prepare to talk about how you've adapted to changing requirements in past projects and how you ensure operational excellence while delivering new data products and pipelines.
