At a Glance
- Tasks: Design and build scalable data pipelines on Google Cloud Platform.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive pay, remote work, and opportunities for professional growth.
- Other info: Dynamic role with a focus on modern data architectures and automation.
- Why this job: Make an impact by optimising data workflows and collaborating with talented teams.
- Qualifications: Experience with ETL/ELT pipelines and Google Cloud Dataflow is essential.
The predicted salary is between 46800 - 65000 € per year.
We're hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks.
What you'll be doing:
- Designing and building ETL/ELT pipelines
- Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow
- Implementing robust data ingestion frameworks using batch and streaming approaches
- Working with structured and semi-structured data
- Collaborating with Data Modelling & Analytics teams
- Driving data reliability, monitoring, and observability
- Automating deployments and workflows
- Contributing to tooling and framework decisions
What we're looking for:
- Strong ETL/ELT pipeline experience
- Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential)
- Strong SQL and data transformation skills
- Experience with orchestration and pipeline automation
- Background in modern data architectures (lakehouse/warehouse)
- Proactive, ownership-driven mindset
Nice to have:
- Data Vault 2.0 exposure
- BigQuery optimisation experience
- Open-source data framework experience
- CI/CD for data pipelines
GCP Data Engineer - Dataflow in Sheffield employer: LinkedIn
Join a forward-thinking company that values innovation and collaboration, offering a dynamic remote work environment for GCP Data Engineers. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to enhance your skills in modern data architectures. Our supportive culture fosters creativity and encourages proactive contributions, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer - Dataflow in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP. 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 ETL/ELT projects and any cool data pipelines you've built on Google Cloud Dataflow. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data transformation skills. Be ready to discuss your experience with modern data architectures and how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take ownership of their job search. Plus, it makes it easier for us to find your application and get in touch!
We think you need these skills to ace GCP Data Engineer - Dataflow in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the GCP Data Engineer role. Highlight your experience with ETL/ELT pipelines and Google Cloud Dataflow, as these are key for us. Use specific examples that showcase your skills in data transformation and modern data architectures.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how your proactive mindset aligns with our needs. Mention any relevant projects or experiences that demonstrate your ability to design and build scalable data workflows.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in SQL and orchestration tools. We want to see your hands-on experience with GCP data services, so be specific about the technologies you've worked with and the impact of your contributions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially around Dataflow. Be ready to discuss how you've designed and built ETL/ELT pipelines in the past, and have specific examples at hand to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while working with data workflows. Think of scenarios where you had to implement robust data ingestion frameworks or automate deployments. Highlight your proactive mindset and how you took ownership of these projects.
✨Get Familiar with Modern Data Architectures
Since the role involves working with modern data architectures, be prepared to discuss your experience with lakehouses and warehouses. If you have any exposure to Data Vault 2.0 or BigQuery optimisation, make sure to mention it as it could set you apart from other candidates.
✨Practice Your SQL and Data Transformation Skills
As strong SQL skills are essential for this role, consider doing some practice problems or reviewing past projects where you transformed data. Be ready to explain your thought process and the techniques you used to ensure data reliability and observability.
