At a Glance
- Tasks: Design and maintain data pipelines using Python and GCP tools like BigQuery and Cloud Composer.
- Company: Join a leading financial services firm focused on innovation and compliance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in an Agile setting for exciting project outcomes.
- Why this job: Make an impact by modernising data solutions in a dynamic, regulated environment.
- Qualifications: Experience with GCP, Python, SQL, and data engineering best practices required.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities
- Pipeline Development: Design, develop, and maintain robust end-to-end data pipelines and orchestration workflows using Python, Apache Airflow, and Cloud Composer on GCP.
- Data Modernization: Bridge the gap between legacy/on-premise database environments and modern cloud architectures, ensuring seamless data ingestion and migration.
- Optimization & Performance: Architect and tune analytics solutions at scale within BigQuery, utilising partitioning, clustering, and materialised views to maximise efficiency and control costs.
- CI/CD & Software Best Practices: Embed rigorous software engineering principles, including Git/GitHub version control, strict PR disciplines, automated unit/integration testing, and deployment via CI/CD pipelines.
- Data Governance & Compliance: Embed data quality controls, access management, data lineage, and privacy frameworks required to meet stringent prudential/regulatory banking compliance standards.
- Collaboration: Partner with cross-functional Agile teams, including Product Owners, DevOps Engineers, and Business SMEs, to translate complex technical requirements into business-ready assets.
Required Technical Skills & Experience
- GCP Core Stack: Proven production-grade experience building and managing cloud data solutions on Google Cloud Platform (specifically BigQuery, Cloud Composer/Airflow, Cloud Storage, and Dataflow).
- Programming & Scripting: Strong hands-on coding capability in Python for data engineering, service development, and pipeline automation.
- Data Transformation & Modeling: Proficient in SQL, data modelling (Star Schema, Data Vault, normalisation), and data transformation frameworks like dbt.
- Regulated Environment Experience: Prior experience working within UK financial services, banking, or a similarly heavily regulated framework handling sensitive/critical data assets is highly preferred.
- Containerization (Desirable): Experience or familiarity with containerising and operating services using Docker and Kubernetes (GKE).
- Legacy Systems (Desirable): Familiarity with enterprise legacy platforms (e.g., Informatica, Teradata, Mainframe) to assist with migration patterns is an added advantage.
GCP Data Engineer in Southampton employer: Dabster
As a GCP Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth within the rapidly evolving field of cloud data solutions. Located in the heart of the UK financial services sector, you will be part of a team that values excellence and compliance, ensuring your contributions have a meaningful impact on our clients and the industry.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer in Southampton
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the GCP space. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with Python, BigQuery, and data pipelines. Share it on platforms like GitHub and make sure it’s easy for potential employers to see your work.
✨Ace the Interview
Prepare for those interviews by brushing up on common GCP Data Engineer questions. Practice explaining your past projects and how you tackled challenges, especially around data migration and optimisation. Confidence is key!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s the best way to get noticed and land that dream job in data engineering!
We think you need these skills to ace GCP Data Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the GCP Data Engineer role. Highlight your experience with Python, BigQuery, and any cloud projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of data pipelines or cloud solutions you've developed. If you've optimised performance in BigQuery or worked with Apache Airflow, let us know! Real-world examples help us understand your capabilities.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity and directness in communication!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dabster
✨Know Your Tech Inside Out
Make sure you’re well-versed in the GCP core stack, especially BigQuery and Cloud Composer. Brush up on your Python skills and be ready to discuss how you've used these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in pipeline development or data migration. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Since this role involves collaboration with cross-functional teams, demonstrate your understanding of how data engineering impacts business outcomes. Be ready to discuss how you can bridge technical requirements with business needs.
✨Familiarise Yourself with Compliance Standards
Given the regulated environment of UK financial services, brush up on data governance and compliance frameworks. Be prepared to discuss how you’ve ensured data quality and privacy in your previous roles.
