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 Swindon employer: Dabster
As a GCP Data Engineer at our company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, all while working in the vibrant financial services sector in the UK. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations in a regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer in Swindon
✨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 data pipelines and projects you've worked on using Python and GCP. We love seeing real-world examples of your work, so make sure to highlight those achievements!
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and Python skills, and be ready to discuss your experience with BigQuery and Cloud Composer. We want to see how you tackle problems, so practice explaining your thought process.
✨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’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace GCP Data Engineer in Swindon
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 projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in data pipeline development or data migration. Think of a couple of scenarios where you optimised performance or ensured compliance in a regulated environment. This will demonstrate your ability to think critically and adapt.
✨Familiarise Yourself with Agile Practices
Since collaboration is key, be ready to discuss your experience working in Agile teams. Highlight how you’ve partnered with Product Owners and DevOps Engineers to translate technical requirements into actionable tasks. This shows you can work well with others and understand the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data governance practices or their approach to CI/CD. This not only shows your interest but also gives you a chance to assess if the company aligns with your values and career goals.
