At a Glance
- Tasks: Design and build scalable cloud-based data solutions for top UK organisations.
- Company: Dynamic consultancy with a focus on innovative data platforms.
- Benefits: Up to £60,000 salary, structured training, and clear career progression.
- Other info: Hybrid role with opportunities for client interaction and professional growth.
- Why this job: Work with cutting-edge tech like AWS and Agentic AI on exciting projects.
- Qualifications: 2-4 years in Data Engineering with skills in Python, SQL, and AWS.
The predicted salary is between 54000 - 60000 £ per year.
Location: London (Hybrid) with occasional client travel
Salary: Up to £60,000
We're recruiting for aData Engineer to join a growing consultancy, delivering production-grade data platforms for some of the UK's leading organisations.
This is a client-facing role where you'll design and build scalable cloud-based data solutions, working with modern technologies includingAWS, Databricks and Agentic AI. You'll benefit from structured training, clear career progression and the opportunity to work on complex, enterprise-scale projects.
Key Responsibilities
- Design, build and maintain scalable ETL/ELT data pipelines and cloud-based data platforms.
- Develop robust data architectures and support the full software development lifecycle.
- Build tooling for data ingestion, transformation, orchestration and data quality.
- Work directly with clients to understand requirements and deliver high-quality data solutions.
- Explore and apply emerging technologies, includingAgentic AI, to improve data engineering processes.
About You
You'll have:
- 2-4 years' experience inData Engineering.
- Strong skills inPython, SQL and DBT.
- Hands-on experience withAWS and/or Databricks.
- Knowledge of AWS services includingS3, Lambda, Glue, RDS and DynamoDB.
- Experience withTerraform or AWS CDK, Git and modern development practices.
- Strong troubleshooting skills and the ability to communicate effectively with both technical and non-technical stakeholders.
- A passion for emerging technologies, particularlyAgentic AI, and a customer-focused approach.
Data Engineer in City of Westminster employer: Lynx Recruitment
Lynx Recruitment is an exceptional employer that fosters a collaborative and innovative work culture, ideal for Senior Software Engineers looking to make a significant impact in the tech industry. With competitive salaries, flexible working arrangements, and a strong emphasis on professional development, employees are encouraged to grow their skills and advance into leadership roles while working on cutting-edge cloud-native solutions in vibrant cities like London and Manchester.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lynx Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Lynx Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lynx Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Lynx Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lynx Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lynx Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lynx Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lynx Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
