At a Glance
- Tasks: Design and build cloud-based data pipelines using AWS/Azure, PySpark, SQL, and Java/Python.
- Company: Jacobs, a leader in innovative data solutions for government and regulated environments.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Embrace a collaborative culture with a focus on DevOps and continuous improvement.
- Why this job: Join a dynamic team to create impactful data platforms and enhance analytics capabilities.
- Qualifications: Experience with cloud services, ETL processes, and programming in Python or Java.
The predicted salary is between 63000 - 77000 £ per year.
Jacobs is hiring for a Data Engineer to design, build and operate cloud-based data pipelines across government and regulated environments in the UK. You will work with AWS and Azure services, PySpark, SQL and Java/Python to deliver robust data platforms, partnering with architects, analysts and stakeholders to ensure trusted data delivery and scalable analytics.
You will contribute to documentation, runbooks and reusable assets while practicing DevOps with CI/CD, automated tests and version control.
Cloud Data Engineer (AWS/Azure) — ETL, PySpark & Pipelines in Glasgow employer: Jacobs
At Jacobs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous professional development opportunities and mentorship programmes, ensuring that our team members thrive in their careers while making a meaningful impact on global water quality initiatives. Located in a vibrant environment, we provide a unique chance to engage with high-profile projects that not only challenge the status quo but also contribute to sustainable solutions for communities and ecosystems.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer (AWS/Azure) — ETL, PySpark & Pipelines in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jacobs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Cloud Data Engineer (AWS/Azure) — ETL, PySpark & Pipelines at Jacobs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jacobs.
✨Apply Directly through Our Website
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We think you need these skills to ace Cloud Data Engineer (AWS/Azure) — ETL, PySpark & Pipelines in Glasgow
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jacobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jacobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jacobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jacobs!
✨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.
