At a Glance
- Tasks: Build and maintain secure data platforms for high-impact government projects.
- Company: Fast-growing consultancy leading in secure data and cloud infrastructure.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with support for all applicants.
- Why this job: Join a team at the forefront of AI-ready technology and make a real difference.
- Qualifications: Degree or equivalent experience in data engineering and familiarity with AWS.
The predicted salary is between 65250 - 79750 £ per year.
You will be joining a fast growing consultancy at the forefront of secure data and cloud infrastructure, building AI-ready platforms for high-impact projects.
You’ll help build and maintain a secure batch and real-time data platform for a government client.
You’ll work with modern commercial and open-source tools to ingest, transform, and deliver data to support analytics and decision-making.
Build, test, and maintain data pipelines Design logical and physical data models Support the growth of the data platform to meet new use cases Analyse data and improve processing performance Ensure data aligns with agreed architecture and standards Troubleshoot data issues and identify improvements Core Experience & Competencies You’ll have a degree (or equivalent experience) and meet the core requirements below.
Essential Experience building data pipelines Understanding of data modelling and data structures Familiarity with Agile delivery methods Experience with AWS (e. g.
EC2, RDS, Lambda, Athena, Glue)Knowledge of relational and No SQL databases Python or similar scripting language Experience with test-driven development Preferred CI tools (e. g.
Jenkins, Drone)Infrastructure as Code (Terraform)Configuration tools (Ansible, Packer)Linux and Windows environments Due to the nature of this role, candidates must be eligible for an enhanced DV Security Clearance with sole British nationality.
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.
Senior Data Engineer - SC Cleared 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 Senior Data Engineer - SC Cleared in Gloucester
✨Get Involved in Data Science Meetups
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✨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.
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When you find a suitable opening like Senior Data Engineer - SC Cleared 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 Senior Data Engineer - SC Cleared 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.
