At a Glance
- Tasks: Design and optimise scalable data platforms on Google Cloud.
- Company: Join a forward-thinking tech company focused on cloud solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Be at the forefront of data engineering and drive impactful analytics.
- Qualifications: Experience with GCP, BigQuery, Python, and data processing tools.
The predicted salary is between 63000 - 77000 £ per year.
The Role
We are seeking an experienced GCP Data Engineer to design, build, and optimize scalable cloud-native data platforms on Google Cloud Platform (GCP).
The ideal candidate will have strong expertise in developing batch and real-time data pipelines, implementing data lake and data warehouse solutions, and enabling data-driven analytics and AI/ML initiatives.
The role involves close collaboration with architects, data scientists, business analysts, and application teams to deliver high-quality, secure, and reliable data solutions
Your responsibilities
- Build batch and streaming data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Functions.
- Develop reusable and optimized data processing solutions using Py Spark and Python.
- Implement orchestration workflows using Cloud Composer (Apache Airflow).
- Ensure data quality, integrity, lineage, and governance across data platforms.
- Implement partitioning, clustering, and performance tuning strategies in Big Query.
- Manage structured, semi-structured, and unstructured data processing requirements.
- Implement IAM policies, data security controls, and compliance requirements.
- Participate in technical design discussions, code reviews, and solution governance meetings.
Your Profile
Essential skills/knowledge/experience
- Google Cloud Platform (GCP)
- Big Query
- Dataproc
- Cloud Composer (Airflow)
- Pub/Sub
- Dataflow
- Cloud Storage
- Python
- Py Spark
- SQL
- Terraform
- Git, CI/CD
Desirable skills/knowledge/experience
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
- Ability to work in global and multi-vendor environments.
- Experience delivering solutions for data modernization and cloud migration initiatives.
GCP Data Engineer in London employer: Tcs Uk
As a Provisioning Engineer at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth in the rapidly evolving telecom sector. Located in a vibrant area, our team enjoys a balance of work and life, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land GCP 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 Tcs Uk!
✨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 GCP Data Engineer at Tcs Uk.
✨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 Tcs Uk.
✨Apply Directly through Our Website
When you find a suitable opening like GCP Data Engineer at Tcs Uk, 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 GCP 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 Tcs Uk, 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 Tcs Uk. 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 Tcs Uk
✨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 Tcs Uk!
✨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.
