At a Glance
- Tasks: Design and deliver high-impact cloud data platforms using Google Cloud technologies.
- Company: Join a leading tech firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Great opportunity for career advancement and mentoring within a supportive team.
- Why this job: Make a real impact by leading complex projects in a dynamic environment.
- Qualifications: Experience with GCP tools and strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
Location: Hybrid; 2 days per week onsite in either Bristol, London, or Manchester
Salary: £65,000 to £85,000 (Dependent on Experience) + Benefits
Security Clearance: Due to the sensitive nature of the client's programme, candidates must hold active SC Clearance or be eligible to undergo the vetting process. Please note that specific client security restrictions mean this role is strictly restricted to Sole British Nationals.
We are seeking experienced GCP Data Engineers at both Senior and Principal levels to help lead, design, and deliver high-impact cloud data platforms for our clients. Whether you are focused on constructing resilient, production-ready pipelines or driving end-to-end solution architecture, team leadership, and client engagement, these roles offer direct ownership over complex Google Cloud environments.
What You'll Do
- Deliver Core GCP Solutions: Develop, test, and deploy scalable batch and streaming data processing jobs using BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Automate & Orchestrate: Construct resilient automated workflows using Cloud Composer alongside robust CI/CD deployment pipelines.
- Ensure Data Quality & Governance: Implement automated testing, monitoring, alerting, and quarantine processes so downstream analytics and business users can rely on the data.
- Lead Technical Delivery: Shape software development lifecycle standards-driving best practices across architecture, code quality, testing frameworks, and release management.
- Collaborate & Align Stakeholders: Translate business goals into solid technical specifications and lead discussions with technical teams and senior client stakeholders to secure buy-in.
- Coach & Mentor: Share specialist knowledge across the team, supporting engineers of all levels and fostering a culture of continuous learning.
What We're Looking For
- Hands-on GCP Suite Experience: Proven track record building production-grade solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Frameworks & Storage: Strong understanding of batch/streaming tools (e.g., Apache Spark, Apache Beam) and when to apply different storage paradigms (relational, columnar, document, data lakes).
- Modern Best Practices: Active practice with version control (Git), automated testing, CI/CD pipelines, and Agile (Scrum/Kanban) methodologies.
- Communication: Ability to explain technical concepts clearly to non-technical business partners and consult pragmatically on architecture trade-offs.
- Bonus Experience: Migration of enterprise-scale legacy platforms (e.g., Hadoop, traditional RDBMS) to GCP. Exposure to streaming platforms like Kafka, MLOps workflows, or data governance tools like Dataplex and Cloud Data Catalog.
Data Engineer (Google Cloud Platform) in City of London employer: IO Associates
Join a leading engineering organisation that values innovation and excellence, offering a dynamic work culture where your contributions directly impact high-performance solutions in safety-critical environments. With a strong focus on employee growth, you will have the opportunity to mentor fellow engineers and shape technical direction while working in an Agile/SAFe environment. Located in the UK, this role provides a unique chance to be part of cutting-edge projects in defence, aerospace, and industrial technology, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Google Cloud Platform) in City of 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 IO Associates!
✨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 (Google Cloud Platform) at IO Associates.
✨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 IO Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (Google Cloud Platform) at IO Associates, 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 Data Engineer (Google Cloud Platform) in City of 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 IO Associates, 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 IO Associates. 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 IO Associates
✨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 IO Associates!
✨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.
