At a Glance
- Tasks: Design and build scalable cloud-based data solutions on Google Cloud Platform.
- Company: Exalto Consulting, a forward-thinking company focused on data innovation.
- Benefits: Up to £100k salary, bonus, hybrid work, and professional growth opportunities.
- Other info: Join a growing team with a collaborative culture and excellent career prospects.
- Why this job: Make a real impact on a modern cloud data platform and shape its future.
- Qualifications: Hands-on GCP experience, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
GCP Senior Data Engineer
Salary:
Up to £100k basic + Bonus + Benefits
At Exalto Consulting, we believe the best engineers want more than just another role.
They want to solve interesting problems, work with talented people, have a voice in technical decisions and see the impact of their work.
We're partnering with an organisation that is investing heavily in its data capability and building a modern cloud-first data platform.
As part of this journey, we're looking for a hands-on
GCP Senior Data Engineer
who wants to be part of a growing team and help shape what great looks like.
This isn't a role where you'll inherit years of technical debt and simply maintain existing systems.
You'll help build, improve and influence a platform that sits at the heart of the business's future data strategy.
Why this opportunity stands out The Data Engineering function is in growth mode.
Backed by senior leadership, the team is expanding and investing in permanent engineering talent to build a high-performing in-house capability.
You'll join at a stage where your ideas, expertise and contributions will genuinely help shape the direction of the platform and the team.
You'll work alongside engineers and stakeholders who are passionate about using data to drive better decisions, better products and better customer outcomes.
What you'll be doing You'll be involved in designing, building and enhancing scalable cloud-based data solutions, including: Developing robust data pipelines on Google Cloud Platform.
Building and optimising modern data architectures.
Working with large-scale datasets to support analytics and business intelligence.
Collaborating with analysts, engineers and business stakeholders.
Helping drive engineering best practice across the team.
Solving complex data challenges and delivering pragmatic solutions.
Contributing to the continuous evolution of a modern cloud data platform.
We're more interested in capability and attitude than ticking every box.
You'll likely have: Strong hands-on experience as a Data Engineer within GCP.
Experience building production-grade data pipelines and platforms.
Expertise with technologies such as Big Query, Dataflow, Cloud Composer/Airflow, Pub/Sub and Cloud Storage.
Strong SQL and data engineering fundamentals.
An engineering mindset and a passion for solving problems.
Confidence working independently while remaining highly collaborative.
Strong communication skills and the ability to build relationships with stakeholders.
If you're a GCP Senior Data Engineer looking for a role where you can make a genuine impact, influence the future of a growing data platform and work with great people, we'd love to hear from you.
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GCP Senior Data Engineer in London employer: Exalto Consulting ltd
Exalto Consulting is an excellent employer for Senior Database Engineers, offering a dynamic work environment in Bradford with a hybrid working model that promotes work-life balance. Employees benefit from competitive salaries, an out-of-hours allowance, and opportunities for professional growth within a collaborative team that values technical expertise and continuous improvement. This role not only allows you to influence critical data platforms but also provides exposure to modernisation initiatives, making it a rewarding place for those passionate about data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Senior Data Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace GCP Senior 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 Exalto Consulting ltd, 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 Exalto Consulting ltd. 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 Exalto Consulting ltd
✨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 Exalto Consulting ltd!
✨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.
