At a Glance
- Tasks: Design and maintain scalable data pipelines while solving complex data challenges.
- Company: AgileSource, a dynamic team supporting high-profile client projects.
- Benefits: Competitive salary, flexible hybrid/remote work, and opportunities for professional growth.
- Other info: Collaborative Agile teams with exciting career advancement opportunities.
- Why this job: Join a fast-paced environment and make a real impact with your data engineering skills.
- Qualifications: Strong experience in Data Engineering, Python, SQL, and cloud platforms.
The predicted salary is between 45000 - 65000 £ per year.
- Data Engineer
- Day Rate: £350 (Inside IR35, depending on experience)
- Security Clearance: Active SC Clearance Required
Agile Source is seeking experienced Data Engineers to join a growing delivery team supporting high-profile client engagements.
We're looking for hands-on engineers who can design, build and maintain robust data solutions while working collaboratively within multidisciplinary teams.
This is an exciting opportunity for professionals who enjoy solving complex data challenges and delivering high-quality solutions in fast-paced environments.
Key Responsibilities
- Design, develop and maintain scalable data pipelines.
- Build and optimise ETL/ELT processes.
- Develop data integration solutions using Python and SQL.
- Ensure data quality, integrity and reliability across platforms.
- Support data modelling and transformation activities.
- Collaborate with engineers, architects, analysts and stakeholders to deliver client outcomes.
- Take ownership of defined work packages and deliver them independently.
- Required Skills & Experience
- Strong hands-on Data Engineering experience.
- Advanced Python and SQL skills.
- Experience building and maintaining data pipelines.
- Strong understanding of ETL/ELT frameworks and methodologies.
- Experience working with cloud-based data platforms.
- Knowledge of data modelling, transformation and data quality principles.
- Ability to work effectively within Agile, multidisciplinary delivery teams.
- Strong problem-solving and communication skills.
Data Engineer - SC Cleared in England employer: AgileSource Ltd
AgileSource is an exceptional employer, offering a dynamic work environment where innovation and user-centred design are at the forefront of our mission. As a Senior User Researcher, you will have the opportunity to collaborate with a multidisciplinary team in London, contributing to impactful public sector projects while enjoying flexible working arrangements and competitive daily rates. We prioritise employee growth through continuous learning and support, making AgileSource a rewarding place for professionals seeking meaningful contributions to digital services.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - SC Cleared in England
✨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 AgileSource Ltd!
✨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 - SC Cleared at AgileSource Ltd.
✨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 AgileSource Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - SC Cleared at AgileSource Ltd, 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 - SC Cleared in England
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 AgileSource Ltd, 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 AgileSource Ltd. 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 AgileSource Ltd
✨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 AgileSource Ltd!
✨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.
