At a Glance
- Tasks: Design and build cloud-native data pipelines using AWS, Azure, PySpark, SQL, and Java/Python.
- Company: Join Jacobs Engineering Group, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and quality.
- Why this job: Make a real impact in government and defence sectors with cutting-edge technology.
- Qualifications: Experience in data engineering and proficiency in cloud services and programming languages.
The predicted salary is between 60750 - 74250 £ per year.
Jacobs Engineering Group Inc. in the United Kingdom invites you to join the Data & Digital team as a Data Engineer. You will design, build and maintain cloud-native data pipelines, and collaborate with engineers, analysts and client stakeholders to deliver robust data solutions for government, defence and regulated sectors.
You’ll work with AWS and Azure services, PySpark, SQL and Java/Python, implement data quality and monitoring, and contribute to runbooks, data dictionaries and scalable.
Cloud Data Engineer - ETL Pipelines & PySpark in Manchester employer: Jacobs Engineering Group Inc.
At Jacobs, we pride ourselves on being an exceptional employer, offering our Hydraulic Engineers the chance to work on transformative water infrastructure projects that have a real impact on communities and the environment. With a strong commitment to professional development, flexible working arrangements, and a collaborative culture, we empower our employees to thrive while shaping the future of the UK's water sector. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
Contact Details:
Jacobs Engineering Group Inc. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer - ETL Pipelines & PySpark in Manchester
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We think you need these skills to ace Cloud Data Engineer - ETL Pipelines & PySpark in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
