At a Glance
- Tasks: Design and maintain ETL solutions, troubleshoot defects, and support Agile collaboration.
- Company: Join a leading data exploitation programme with a focus on innovation.
- Benefits: Competitive salary, security clearance support, and opportunities for professional growth.
- Other info: Dynamic team environment with mentoring opportunities and career advancement.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: Strong Talend and Oracle database experience, plus SQL skills.
The predicted salary is between 51750 - 63250 £ per year.
- Clearance Requirement
- Candidates must be eligible for UK Security Check (SC) clearance and able to complete
BPSS checks.
Active SC candidates are preferable
Role Overview
We are seeking experienced
Data Engineers to support delivery within a large-scale data exploitation programme. You will work within an established
- Talend framework, developing and maintaining ETL pipelines while supporting
- Oracle RDS databases and
CI/CD processes .
Key Responsibilities
- Design, develop and maintain
ETL solutions using Talend .
- Develop and maintain
Oracle SQL and DDL artefacts .
- Contribute to
CI/CD pipeline development and enhancements , particularly using Git Lab.
- Investigate, troubleshoot and resolve defects across development and testing environments.
- Conduct component testing, including the creation and management of test data.
- Support
QA, performance testing and production releases .
- Carry out peer reviews of development and testing artefacts.
- Provide technical guidance and mentoring to junior team members.
- Participate in Agile ceremonies and support effective cross-team collaboration.
Essential Skills & Experience
- Strong, hands-on
Talend experience.
- Proven experience working with
Oracle databases , ideally Oracle RDS.
- Strong
SQL skills and understanding of data modelling.
- Experience working within structured
SDLC and software testing frameworks .
- Familiarity with
CI/CD tools and practices , particularly Git Lab.
- Experience working in enterprise-scale environments.
Desirable
- Experience within
UK public sector or government environments .
- Previous experience working on large-scale data exploitation or transformation programmes.
- Experience supporting secure or highly governed delivery environments.
Data Engineer in Nottingham employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Nottingham
✨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 Careerwise!
✨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 Careerwise.
✨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 Careerwise.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Careerwise, 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 Nottingham
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 Careerwise, 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 Careerwise. 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 Careerwise
✨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 Careerwise!
✨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.
