At a Glance
- Tasks: Design and develop 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 Agile teams and enhance your skills in a supportive atmosphere.
- Why this job: Make an impact by modernising data solutions in a dynamic, regulated environment.
- Qualifications: Experience with GCP, Python, SQL, and familiarity with financial services is preferred.
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 Chelmsford 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 Chelmsford
✨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 Chelmsford
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 data orchestration tools like Apache Airflow. We love seeing real examples of your work that demonstrate your capabilities in a regulated environment.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities to make it easy for us to read. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining the StudySmarter team!
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 past projects. Being able to share specific examples will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in 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.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the importance of data governance. Be ready to explain how your technical skills can help meet regulatory standards and improve data quality. This shows that you’re not just a techie but also understand the bigger picture.
✨Collaborate Like a Pro
Since collaboration is key, think about your experiences working in Agile teams. Be prepared to discuss how you’ve partnered with Product Owners and DevOps Engineers to translate technical requirements into actionable tasks. Highlighting your teamwork skills will set you apart.
