At a Glance
- Tasks: Design and build scalable data pipelines and cloud architectures on GCP.
- Company: Globally established organisation with a focus on cloud transformation.
- Benefits: Salary up to £85,000, bonus, hybrid work, and comprehensive benefits.
- Other info: Work hybrid with 3 days onsite, excellent career growth opportunities.
- Why this job: Join a dynamic team and shape the future of data in a complex enterprise environment.
- Qualifications: Experience in GCP, Python, Java or Scala, and ETL/ELT workflows.
The predicted salary is between 68000 - 108000 £ per year.
Requirements
- Strong experience as a Data Engineer within GCP environments
- Hands-on experience with Big Query, Dataflow and Spanner
- Strong programming capability in Python, Java or Scala
- Experience with Apache Beam / Dataflow and distributed processing frameworks
- Experience designing and managing ETL / ELT pipelines
- Solid understanding of data modelling and database design
- Experience with workflow orchestration tools such as Apache Airflow
- Strong understanding of data governance, security and scalability
- Experience with Pub/Sub, Cloud Composer or Cloud Data Fusion
- Exposure to CI/CD, Dev Ops and Infrastructure as Code
- Experience with real-time streaming architectures
- Knowledge of modern data governance frameworks
Responsibilities
- Design and build scalable data pipelines, ETL/ELT workflows and cloud data architectures on GCP
- Develop solutions using services such as Big Query, Dataflow, Spanner and Cloud Storage
- Build and maintain code using Python, Java or Scala for data transformation and processing
- Optimise data pipelines, queries and workloads for performance and scalability
- Implement data quality, validation and governance controls
- Collaborate with cross-functional teams to deliver end-to-end data solutions
- Ensure alignment with security, privacy and compliance standards
- Troubleshoot issues across pipelines and processing workflows
- Maintain documentation across data flows, platforms and architectures
Technologies
- Airflow
- Big Query
- CI/CD
- Cloud
- Composer
- Dev Ops
- ETL
- GCP
- Java
- Python
- Scala
- Security
- Support
More
We are a globally established organisation offering a permanent GCP Data Engineer position based in London on a hybrid basis, with 3 days per week onsite.
This full-time role offers a salary of up to 85,000 plus bonus and benefits.
You will help build modern, scalable cloud data platforms within a complex enterprise environment, with strong exposure to cloud transformation and enterprise-scale data delivery.
#J-18808-Ljbffr
GCP Data Engineer in London employer: Involved Solutions
Join a leading global BFSI organisation in Bromley, where you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. With competitive salaries, comprehensive benefits, and ample opportunities for professional growth, this role as a Fidessa Application Support Analyst offers you the chance to work with cutting-edge technologies while supporting critical trading systems. Experience a culture that values teamwork and continuous improvement, making it an ideal 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 Involved Solutions!
✨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 Involved Solutions.
✨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 Involved Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like GCP Data Engineer at Involved Solutions, 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 Involved Solutions, 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 Involved Solutions. 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 Involved Solutions
✨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 Involved Solutions!
✨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.
