At a Glance
- Tasks: Engineer and analyse data to create secure, impactful solutions for government clients.
- Company: Join CGI, a top-rated employer known for innovation and inclusivity.
- Benefits: Competitive salary, private healthcare, pension scheme, and career development opportunities.
- Other info: Hybrid role with a minimum of 3 days on-site in Central London.
- Why this job: Make a real difference with cutting-edge tech while growing your skills in a supportive environment.
- Qualifications: Experience in data engineering, Python, Kibana, and AWS is essential.
The predicted salary is between 49500 - 60500 £ per year.
Shape secure, data-driven solutions that help government clients tackle some of their most complex challenges. As a Senior Data Engineer within CGI’s Secure Innovation team, you’ll turn complex datasets into trusted insight, with particular emphasis on Kibana visualisation and hands-on data engineering. You’ll take ownership of data quality and end-to-end flows, creatively solve technical challenges, and collaborate with experts to deliver secure, scalable solutions that make a measurable difference. Working with modern technologies including Python, Elasticsearch, Kibana and AWS, you’ll have the freedom to innovate while being supported with ongoing learning and development to keep your skills at the forefront of an evolving technology landscape.
Due to the secure nature of the programme, you will need to hold DV level UK Security Clearance or be eligible to go through this clearance. This is a hybrid position and will require the holder to spend a minimum of 3 days a week on site in Central London.
Your future duties and responsibilities:
- Engineer, analyse and validate data that supports secure, high-value solutions for our government clients.
- Take ownership of data quality and integrity across end-to-end data flows, using Kibana and Elasticsearch to create visualisations, dashboards and investigations that turn complex information into actionable insight.
- Work collaboratively across upstream and downstream teams, bringing creative thinking to technical challenges and identifying risks, anomalies and dependencies before they affect delivery.
- Communicate findings clearly to technical and non-technical stakeholders, including senior leadership and client teams.
Required qualifications to be successful in this role:
- Strong, hands-on data engineering experience combined with practical Kibana visualisation expertise.
- Comfortable analysing complex data, investigating quality issues and using Python, Elasticsearch, AWS and command-line tooling to deliver reliable outcomes.
- Strong analytical thinking, attention to detail and the ability to communicate effectively across technical and non-technical audiences.
Skills:
- Python
- Amazon Web Services
- Data Analysis
- Elastic Suite
- Kibana
What you can expect from us:
Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
Data Engineer (Python, Kibana, Elasticsearch & AWS) - DV Security Clearance in London employer: CGI
At CGI, we pride ourselves on being an inclusive employer that fosters a supportive and collaborative work culture. As a Platform Engineer in Glasgow, you'll enjoy competitive benefits including a strong pension scheme, private healthcare, and the opportunity to become a CGI Partner through our share scheme. With a commitment to employee growth and development, you'll have the freedom to innovate and make a meaningful impact while working alongside a diverse community of experts dedicated to shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Python, Kibana, Elasticsearch & AWS) - DV Security Clearance in London
✨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 CGI!
✨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 (Python, Kibana, Elasticsearch & AWS) - DV Security Clearance at CGI.
✨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 CGI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (Python, Kibana, Elasticsearch & AWS) - DV Security Clearance at CGI, 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 (Python, Kibana, Elasticsearch & AWS) - DV Security Clearance in London
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 CGI, 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 CGI. 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 CGI
✨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 CGI!
✨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.
