At a Glance
- Tasks: Design and optimise scalable data pipelines on Google Cloud Platform.
- Company: Join a leading tech company focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best practices and continuous improvement.
- Why this job: Make an impact by building high-performance data platforms that drive business success.
- Qualifications: Expertise in cloud-native data engineering and strong analytical skills required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly skilled Senior Data Engineer – Google Cloud Platform (GCP) to design, build, and optimise scalable, secure, and high-performance data pipelines and analytics platforms on Google Cloud. This is a hands-on engineering role requiring strong expertise in cloud-native data engineering, distributed processing, analytics platforms, and modern CI/CD practices.
You will partner closely with product teams, analysts, platform engineers, and architects to translate business requirements into reliable, production-grade data solutions—while driving best practices in automation, data quality, observability, performance tuning, and cost optimisation.
Are you a hands-on Data Engineer who loves building scalable, secure, high-performance data platforms on Google Cloud? We’re looking for a Senior Data Engineer to design and optimise batch + streaming pipelines, enable analytics, and drive best practices across data engineering and CI/CD.
What you’ll do:
- Build/operate pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub Model and optimise BigQuery (partitioning, clustering, cost).
Senior Data Engineer – Google Cloud Platform (GCP) employer: HCLTech
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer on Google Cloud Platform, you will thrive in a dynamic work culture that encourages continuous learning and professional growth. With access to cutting-edge technology and a commitment to best practices, you'll be part of a team that not only values your expertise but also invests in your development, ensuring you have the tools and support needed to excel in your role. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Google Cloud Platform (GCP)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Google Cloud. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and analytics on GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Dataflow, Dataproc, and BigQuery. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer – Google Cloud Platform (GCP)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Google Cloud and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:Be specific about your technical expertise in cloud-native data engineering and CI/CD practices. We’re looking for hands-on experience, so mention any tools or frameworks you’ve used, like Dataflow or BigQuery, that demonstrate your capabilities.
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 shows you’re keen on joining our team!
How to prepare for a job interview at HCLTech
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with Dataflow, Dataproc, and BigQuery, as well as their best practices for optimisation. Being able to discuss specific projects where you've used these tools will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles. Think of examples where you designed scalable data pipelines or improved performance. This will demonstrate your ability to translate business requirements into effective data solutions.
✨Emphasise Collaboration
Since this role involves working closely with product teams and analysts, be ready to talk about your experience collaborating with cross-functional teams. Highlight any instances where your teamwork led to successful project outcomes, especially in automation and data quality.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or how they implement CI/CD practices. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
