At a Glance
- Tasks: Design and optimise cloud-native data platforms on Google Cloud for analytics and AI/ML.
- Company: Leading UK banking and financial services organisation with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and exposure to cutting-edge technologies.
- Other info: 12-month contract with opportunities for professional growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Experience with GCP, Python, PySpark, and strong analytical skills required.
The predicted salary is between 60750 - 74250 £ per year.
We are seeking an experienced GCP Data Engineer to join a leading UK banking and financial services organisation on a 12-month hybrid contract based in London (2-3 days on-site). The successful candidate will design, build, and optimise scalable cloud-native data platforms on Google Cloud Platform, developing batch and Real Time data pipelines and implementing data lake and data warehouse solutions to enable data-driven analytics and AI/ML initiatives, working closely with architects, data scientists, business analysts, and application teams.
Key Responsibilities:
- Build batch and streaming data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Functions
- Develop reusable and optimised data processing solutions using PySpark 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 BigQuery
- 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
What You Will Ideally Bring:
- Strong experience with Google Cloud Platform (GCP), BigQuery, Dataproc, Cloud Composer (Airflow), Pub/Sub, Dataflow, and Cloud Storage
- Proficiency in Python and PySpark, with strong SQL skills
- Experience with Terraform, Git, and CI/CD
- 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 modernisation and cloud migration initiatives
GCP Data Engineer - 12 Month Contract - Hybrid in London employer: Hamilton Barnes
Hamilton Barnes is an exceptional employer for those passionate about live sports broadcasting, offering a dynamic work environment that thrives on teamwork and innovation. With opportunities for professional growth and development in cutting-edge technology, employees enjoy a supportive culture that values their contributions, all while being part of the excitement surrounding Premier League matchday coverage. The shift-based nature of the role allows for flexibility, and the potential for overtime ensures that hard work is rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer - 12 Month Contract - Hybrid in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Hamilton Barnes before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Hamilton Barnes.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Hamilton Barnes.
We think you need these skills to ace GCP Data Engineer - 12 Month Contract - Hybrid in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hamilton Barnes, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Hamilton Barnes, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Hamilton Barnes’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hamilton Barnes
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Hamilton Barnes.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Hamilton Barnes.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Hamilton Barnes.
