At a Glance
- Tasks: Design and develop data pipelines and cloud-based solutions for public sector clients.
- Company: Growing tech consultancy focused on data-driven solutions in secure environments.
- Benefits: Up to £60,000 salary, hybrid working, private healthcare, and annual training budget.
- Other info: Clear career progression and opportunity to work with modern cloud technologies.
- Why this job: Make an impact on government projects while advancing your career in data engineering.
- Qualifications: 3+ years of Data Engineering experience with strong Python and SQL skills.
The predicted salary is between 60000 - 60000 £ per year.
Location: London / Cheltenham (Hybrid)
Salary: Up to £60,000 + Benefits
Clearance: Active SC Clearance OR previously held
Our client is a growing technology consultancy delivering data-driven solutions across Government and secure environments. They are seeking a Data Engineer to join their team at Consultant level.
The Role
You'll design and develop data pipelines, build cloud-based data solutions, and support analytics, reporting, and machine learning initiatives for a range of public sector clients.
Key Skills
- 3+ years' Data Engineering experience
- Strong Python and SQL skills
- ETL/ELT pipeline development
- Experience with Spark, Kafka, Airflow or similar technologies
- Cloud experience (AWS, Azure or GCP)
- CI/CD and DevOps tooling
- Data modelling and database design
- Strong stakeholder and communication skills
- Active SC Clearance or willingness to obtain clearance
What's on Offer?
- Salary up to £60,000
- Hybrid working (2-3 days)
- Private healthcare
- Annual training budget and dedicated learning days
- Pension and bonus scheme
- Clear career progression within a growing consultancy
- Opportunity to work on impactful Government and national security projects
This is an excellent opportunity for a Data Engineer looking to develop their consulting experience while working with modern cloud and data technologies.
Data Engineer in Slough employer: Cyberteam
Join a dynamic technology consultancy that prioritises employee growth and offers a collaborative work culture. With hybrid working options, private healthcare, and a dedicated training budget, you'll have the resources to enhance your skills while contributing to impactful projects in the public sector. This role not only provides a competitive salary but also clear pathways for career progression within a supportive environment focused on innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨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 Cyberteam!
✨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 Cyberteam.
✨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 Cyberteam.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Cyberteam, 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 Slough
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 Cyberteam, 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 Cyberteam. 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 Cyberteam
✨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 Cyberteam!
✨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.
