At a Glance
- Tasks: Design and build scalable cloud-based data solutions using AWS technologies.
- Company: Join a leading tech firm focused on innovative data engineering.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact by developing secure, high-performance data platforms in a dynamic environment.
- Qualifications: Active Security Clearance and strong skills in Python, SQL, and AWS services.
The predicted salary is between 60000 - 80000 £ per year.
Our client is seeking Security Cleared AWS Data Engineers at all levels to design, build, and support scalable cloud-based data solutions. You will develop robust data pipelines, automate workflows, and deliver secure, high-performance data platforms using AWS-native technologies.
Key Responsibilities
- Develop and maintain data pipelines using Python, SQL, and Apache Airflow.
- Build and manage containerised data applications using Docker.
- Design and optimise solutions using AWS services including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch.
- Implement CI/CD pipelines using GitLab or similar tools.
- Monitor, troubleshoot, and improve data pipeline performance and reliability.
- Collaborate with cross-functional teams to deliver secure and scalable data platforms.
- Ensure adherence to data governance, security, and best practice standards.
Essential Skills
- Active Security Clearance.
- Strong experience with Python and SQL.
- Hands-on experience with Apache Airflow and Docker.
- Proven experience with AWS data services, including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch.
- Experience with Git, GitLab, and CI/CD pipelines.
- Understanding of AWS security best practices, IAM, and RBAC.
Desirable Skills
- Experience with Athena, SQS, CloudWatch, CloudTrail, or EMR.
- Knowledge of Terraform or CloudFormation.
- Experience in consultancy or client-facing environments.
Personal Attributes
- Strong problem-solving and troubleshooting skills.
- Excellent communication and stakeholder management abilities.
- Collaborative approach and experience working in Agile teams.
- Proactive mindset with a focus on continuous improvement.
AWS Data Engineer (Active SC) in London employer: True North Group
Our company is an exceptional employer for AWS Data Engineers, offering a dynamic work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, we provide access to cutting-edge technologies and continuous learning opportunities, all while ensuring a supportive culture that values teamwork and individual contributions. Located in a vibrant area, our team enjoys not only competitive benefits but also the chance to work on impactful projects that enhance data security and performance.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer (Active SC) 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 True North Group!
✨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 AWS Data Engineer (Active SC) at True North Group.
✨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 True North Group.
✨Apply Directly through Our Website
When you find a suitable opening like AWS Data Engineer (Active SC) at True North Group, 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 AWS Data Engineer (Active SC) 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 True North Group, 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 True North Group. 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 True North Group
✨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 True North Group!
✨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.
