At a Glance
- Tasks: Design and develop data pipelines using Python and GCP technologies.
- Company: Join a leading financial services firm focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, regulated industry.
- Why this job: Make an impact by modernising data solutions in a dynamic environment.
- Qualifications: Experience with GCP, Python, and data engineering principles 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 Portsmouth employer: Dabster
As a GCP Data Engineer at our company, you will thrive in a dynamic and collaborative work environment that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and continuous learning opportunities, all while being part of a team that values diversity and inclusion. Located in the heart of the UK financial services sector, you will play a crucial role in shaping the future of data solutions within a highly regulated industry, ensuring your contributions have a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that GCP Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, BigQuery, and Cloud Composer. We want to see how you’ve tackled real-world problems and built data pipelines that shine.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to data engineering and being ready to discuss your experience with CI/CD and data governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GCP Data Engineer in Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the GCP Data Engineer role. Highlight your experience with Python, BigQuery, and any cloud data solutions you've worked on. We want to see how your skills match up with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and developed data pipelines or worked with Cloud Composer. We love seeing real examples of your work, so don’t hold back on the details!
Highlight Collaboration Skills:Since we work in cross-functional Agile teams, mention any experience you have collaborating with Product Owners or DevOps Engineers. Show us how you can translate technical requirements into business-ready assets!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you in the loop quickly!
How to prepare for a job interview at Dabster
✨Know Your Tech Stack
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 past projects.
✨Showcase Your Pipeline Development Skills
Prepare to talk about your experience designing and maintaining data pipelines. Have specific examples ready that demonstrate your ability to create robust workflows using Apache Airflow and how you’ve tackled challenges in data ingestion and migration.
✨Understand Data Governance
Since this role involves compliance with banking regulations, be prepared to discuss how you’ve implemented data quality controls and access management in previous roles. Highlight any experience you have with data lineage and privacy frameworks.
✨Collaboration is Key
This position requires working with cross-functional teams, so think of examples where you’ve successfully collaborated with Product Owners or DevOps Engineers. Be ready to explain how you translated complex technical requirements into business-ready solutions.
