At a Glance
- Tasks: Join a team to develop and enhance data solutions on cloud platforms.
- Company: People-focused consultancy with a growing engineering capability.
- Benefits: Competitive salary, comprehensive benefits, and structured learning opportunities.
- Other info: Clear career progression and access to coaching from tech professionals.
- Why this job: Work with modern tech and make a meaningful impact on enterprise projects.
- Qualifications: Strong data engineering experience, especially with Python and AWS.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer
Security Clearance
Active SC Clearance Required
About the Role
Join a growing engineering capability within a people-focused consultancy environment.
This is an exciting opportunity to work on large-scale data and cloud transformation programmes for enterprise clients, helping deliver modern data platforms, cloud-native solutions, and innovative analytics capabilities.
Working as part of a collaborative engineering team, you will partner with architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms.
You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills.
Key Responsibilities
- Deliver defined work packages and technical tasks within agreed timelines and quality standards.
- Develop, maintain, schedule and troubleshoot batch and micro-batch data pipelines.
- Support and enhance cloud-based data platforms and analytics solutions.
- Manage API integrations and database connectivity.
- Collaborate closely with senior engineers and wider project teams to solve
- Contribute to team planning and continuous improvement initiatives.
- Share knowledge and collaborate with colleagues in an agile engineering setting.
Essential Skills & Experience
- Strong experience in data engineering, including Python.
- Experience working with AWS ETL services.
- Experience querying and managing data held within AWS S3
- Experience managing API integrations and database connectivity.
- Familiarity with Git Lab or similar source control and Dev Ops platforms.
- Experience using Terraform or equivalent Infrastructure-as-Code technologies.
- Experience supporting production systems and live service environments.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
- Ability to work independently while contributing effectively within a team environment.
- Active SC Clearance is required .
- What's on Offer
- Competitive salary and comprehensive benefits package.
- Structured learning and development opportunities.
- Access to coaching and mentoring from experienced technology professionals.
- Long-term client engagements delivering meaningful impact.
- Clear career progression pathways within a growing technology practice.
- Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes.
Data Engineer in Bradford employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bradford
✨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 Tenth Revolution 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 Data Engineer at Tenth Revolution Group.
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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 Tenth Revolution Group.
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We think you need these skills to ace Data Engineer in Bradford
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 Tenth Revolution 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 Tenth Revolution 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 Tenth Revolution 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 Tenth Revolution 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.
