At a Glance
- Tasks: Design and develop scalable data platforms and robust data pipelines.
- Company: Join a diverse team delivering mission-critical solutions in National Security.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative Agile environment with a focus on continuous improvement.
- Why this job: Make a real-world impact with modern cloud technologies and big data.
- Qualifications: Experience in Data Engineering and strong skills in Python or Java.
The predicted salary is between 65250 - 79750 £ per year.
We’re looking for Data Engineers to help deliver secure, mission-critical solutions for customers across the National Security sector. Working as part of a collaborative engineering team, you’ll design and develop scalable data platforms, build robust data pipelines and transform complex datasets into meaningful insights. You’ll have the opportunity to work with modern cloud technologies, distributed systems and large-scale data environments on projects that have real-world impact.
Key Responsibilities
- Design and develop scalable data pipelines and ingestion frameworks
- Integrate, process and enrich data from multiple sources
- Build high-quality data services that support analytics and decision-making
- Optimise performance, reliability and security across data platforms
- Work within Agile delivery teams to design, develop and deploy secure solutions
- Contribute to technical discussions, code reviews and continuous improvement
Skills & Experience
- Commercial experience in Data Engineering
- Strong Python or Java development skills
- Experience with AWS cloud services
- Knowledge of Apache Spark, Hadoop, NiFi or similar big data technologies
- Experience building ETL/ELT pipelines and processing large datasets
- Understanding of software engineering best practices, testing and CI/CD
- Comfortable working in Agile environments
Reasonable Adjustments
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer in Gloucester employer: Sanderson Recruitment
Join a forward-thinking organisation that values diversity and inclusion, offering a dynamic work culture where your expertise in tax can truly shine. As the Head of Tax, you will not only lead a talented team but also play a pivotal role in shaping the tax strategy across North West Europe, with ample opportunities for professional growth and development. Enjoy a collaborative environment that prioritises employee well-being and fosters meaningful contributions to the business's long-term success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Gloucester
✨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 Sanderson Recruitment!
✨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 Data Engineer at Sanderson Recruitment.
✨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 Sanderson Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Sanderson Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Gloucester
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 Sanderson Recruitment, 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 Sanderson Recruitment. 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 Sanderson Recruitment
✨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 Sanderson Recruitment!
✨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.
