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- Tasks: Design and build real-time data pipelines using GCP services like BigQuery and Dataflow.
- Company: Join a global tech consultancy with a focus on banking and financial services.
- Benefits: Earn up to £85k, plus bonuses, private medical care, and gym membership.
- Why this job: Make an impact in finance while working with cutting-edge cloud technologies.
- Qualifications: Experience in data engineering, GCP, Python, SQL, and real-time data streaming.
- Other info: Enjoy a hybrid work model and excellent career growth opportunities.
The predicted salary is between 68000 - 102000 £ per year.
Job Description
Senior Data Engineer (GCP BigQuery Python SQL) London / WFH to £85k
Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills?
You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role.
As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using GCP services such as BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures.
You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions.
Location / WFH:
There's a hybrid work from home model with two days a week in the London, City office (or at client site in London).
About you:
- You are an experienced Data Engineer within financial services environments
- You have expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM
- You have strong Python, SQL and PySpark skills
- You have experience with real-time data streaming using Kafka or Spark
- You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling
- You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions
- You're collaborative and pragmatic with excellent communication and stakeholder management skills
- You're comfortable taking ownership of projects and working end-to-end
What's in it for you:
As a Senior Data Engineer you will earn a highly competitive package:
- Salary to £85k
- Bonus c15%
- Pension (up to 7% employer contribution), Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
- Flexible holiday scheme
Apply now to find out more about this Senior Data Engineer (GCP BigQuery Python SQL) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Engineer GCP - Finance employer: Client Server Ltd.
Contact Detail:
Client Server Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer GCP - Finance
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to data engineering and GCP. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, BigQuery, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer GCP - Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your GCP expertise, Python, SQL, and any relevant projects you've worked on in financial services.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've designed data pipelines or collaborated with clients to solve problems in the past.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Mention specific GCP services like BigQuery and Dataflow, and describe how you've used them in real-world scenarios. This will help us see your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Client Server Ltd.
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery, Dataflow, and Dataproc. Be ready to discuss how you've used these tools in past projects and how they can be applied to real-time data pipelines.
✨Showcase Your Client-Facing Skills
Since this role involves collaborating closely with clients, prepare examples of how you've effectively communicated technical concepts to non-technical stakeholders. Highlight any successful projects where you defined business requirements and delivered tailored solutions.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your Python, SQL, and PySpark skills. You might be asked to solve a coding problem or explain your approach to building fault-tolerant data engineering solutions, so practice articulating your thought process clearly.
✨Emphasise Collaboration and Ownership
This role requires a collaborative spirit and the ability to take ownership of projects. Share specific instances where you led a project from start to finish, worked with cross-functional teams, and how you navigated challenges along the way.
