At a Glance
- Tasks: Lead data projects, engage with clients, and develop robust ETL processes in a fast-paced environment.
- Company: Join a Google Premier Partner known for innovation and collaboration.
- Benefits: Competitive salary, bonus potential, hybrid work model, and tailored career progression.
- Other info: Stylish London office and opportunities for industry-leading accreditations.
- Why this job: Make an impact by driving cloud transformation and solving complex data challenges.
- Qualifications: Experience with GCP data technologies and strong analytical skills.
The predicted salary is between 67500 - 82500 £ per year.
Join a team of Google Cloud experts, using your knowledge of data to thrive in a fast paced and innovative environment.
You'd drive out the cloud transformation, taking a lead on all things data related in a Google Premier Partner.
You will actively engage with clients, gathering requirements, creating the appropriate structure for data in ERA data warehouses and develop robust ETL processes - thus ensuring the integrity of the data.
Your role will be instrumental in the creation of a new data lake/warehouse/hub built in GCP.
You are confident using the full suite of Google data products, IAC, CI/CD, Spark and Kafka.
Our core toolbox includes Google Cloud Big Data technologies, Scala, Java & Python, Jenkins amongst others.
We value first principles reasoning to select the right tools and processes for our clients' requirements, and we are always eager to learn from innovative approaches to problem-solving.
You will bring an analytical mindset and creative ideas to solve complex data related engineering challenges.
As a subject matter expert in GCP data technologies, you will work with stakeholders to determine complex data relationships and requirements, supporting the wider teams and business.
You will design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform, and work with Agile and Dev Ops techniques and implementation approaches in the delivery.
The company operates a hybrid model with a stylish central London office.
You will be rewarded with a competitive salary, the opportunity to gain industry leading accreditations and a bonus of up to 15%.
In addition you will have the chance to enhance your career with tailored progression, opportunities to collaborate with great engineers and time for you to train on what you feel needs training.
Reach out for an initial conversation - NO CV NEEDED.
Lead Data Engineer in London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team-oriented environment encourages personal growth and development, allowing you to tackle real-world challenges while directly engaging with clients. With attractive compensation packages and a commitment to high trust and low ego, we offer a unique opportunity for meaningful and rewarding employment in the rapidly evolving field of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨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 LinuxRecruit!
✨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 Lead Data Engineer at LinuxRecruit.
✨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 LinuxRecruit.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at LinuxRecruit, 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!
We think you need these skills to ace Lead Data Engineer in London
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 LinuxRecruit, 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 LinuxRecruit. 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 LinuxRecruit
✨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 LinuxRecruit!
✨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.
