At a Glance
- Tasks: Design and maintain scalable data pipelines on Google Cloud Platform.
- Company: Join a forward-thinking tech company focused on enterprise data solutions.
- Benefits: Competitive daily rate, fully remote work, and flexible part-time hours.
- Other info: Opportunity to work in a dynamic environment with potential for growth.
- Why this job: Be at the forefront of cloud technology and make a significant impact.
- Qualifications: Strong GCP experience, SQL, Python skills, and data integration expertise.
Location: Fully remote – UK
Contract length: Initial 6 months
Working frequency: Part-time
Rate: £450-£500 per day
IR35: Outside IR35
Tech: GCP / Datastream / SQL / Python
SR2 is supporting a client delivering a large-scale enterprise data platform on Google Cloud Platform (GCP) and is looking for a Senior Data Engineer to join the team on an initial 6-month contract. This is a hands-on engineering role focused on building and maintaining cloud-native data pipelines and enabling the ingestion of data from multiple sources including on-premise systems and SaaS platforms. The environment involves complex enterprise integrations, with a particular focus on bringing distributed data sources into a centralised cloud data platform.
Role:
- Design, build and maintain scalable data pipelines on GCP
- Ingest and integrate data from on-premise systems into cloud environments
- Support integration of SaaS data sources into the organisation’s internal data platform
- Work with enterprise data ingestion technologies such as Datastream or equivalent replication tools
- Build and optimise data ingestion and transformation workflows
- Contribute to cloud architecture discussions and data platform design
- Ensure pipelines are reliable, secure and performant in production environments
Requirements:
- Strong Google Cloud Platform (GCP) experience
- Proven ability to design and build scalable data pipelines
- Experience integrating data from on-premise environments into cloud platforms
- Experience with Google Datastream or similar replication technologies
- Experience ingesting data from external SaaS systems
- Strong SQL and Python skills
- Understanding of cloud networking considerations for data ingestion
- Experience working in enterprise-scale data environments
- Experience with Airflow or other orchestration frameworks
- Exposure to distributed data processing frameworks such as Spark
- Google Associate Cloud Engineer or Professional Cloud Engineer certification (desirable)
Please apply with a copy of your CV and Emma from SR2 will contact potential candidates regarding next steps.
Senior Data Engineer in Bath employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
At SR2, we pride ourselves on being an exceptional employer, offering a fully remote working environment that promotes flexibility and work-life balance. Our collaborative culture fosters innovation and growth, providing employees with opportunities to enhance their skills in cutting-edge technologies like GCP while contributing to impactful projects. Join us to be part of a dynamic team where your expertise in data engineering will be valued and rewarded.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Bath
✨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 that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, SQL, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've built scalable data pipelines or integrated SaaS data sources. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in Bath
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, SQL, and Python. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineer role. We love seeing enthusiasm and a clear understanding of the job requirements.
Showcase Your Technical Skills:Be specific about your experience with data pipelines and cloud technologies. Mention any tools like Datastream or Airflow that you've worked with. We’re keen on seeing how you can contribute to our data platform!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss your experience with GCP, especially in building and maintaining data pipelines. Familiarise yourself with Datastream and any other relevant tools, as you might be asked to explain how you've used them in past projects.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be given a practical test or asked to solve a problem on the spot, so practice coding challenges related to data manipulation and pipeline creation. Highlight specific projects where you’ve successfully used these skills.
✨Discuss Integration Experience
Be ready to talk about your experience integrating data from on-premise systems into cloud environments. Share specific examples of challenges you faced and how you overcame them. This will show your problem-solving abilities and your hands-on experience in enterprise-scale data environments.
✨Engage in Cloud Architecture Conversations
Since the role involves contributing to cloud architecture discussions, prepare some insights or questions about cloud data platform design. This shows your interest in the bigger picture and your ability to think strategically about data ingestion and processing.
