At a Glance
- Tasks: Design and enhance ETL/data integration solutions using Talend in a dynamic environment.
- Company: Join a leading data and analytics programme with a focus on innovation.
- Benefits: Competitive pay up to £600, flexible working, and opportunities for professional growth.
- Other info: Active UK Security Clearance (SC) is essential; great chance to mentor and collaborate with talented teams.
- Why this job: Make a real impact by working on complex data pipelines and cutting-edge technologies.
- Qualifications: Strong Talend expertise and experience in data engineering required.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for an experienced SC Cleared Data Engineer with strong hands-on Talend expertise to join a large-scale data and analytics programme. You must currently hold active UK Security Clearance (SC) to be considered for this role.
The position will focus on designing, developing and enhancing robust ETL/data integration solutions within an established Talend environment, working across complex data pipelines, Oracle databases and automated CI/CD processes.
Key Responsibilities:
- Design, build and enhance ETL/data integration pipelines using Talend
- Develop scalable and maintainable data transformation solutions
- Write and optimise Oracle SQL, DDL and database objects
- Work with Oracle RDS and associated data structures
- Troubleshoot data, integration and performance issues across development and test environments
- Develop component tests and create appropriate test data
- Support QA, integration testing, performance testing and production releases
- Contribute to the improvement and automation of CI/CD pipelines using GitLab
- Carry out code reviews and peer reviews of technical and testing artefacts
- Work closely with architects, analysts, testers and other engineering teams
- Support engineering standards, documentation and development best practice
- Provide technical guidance and mentoring to less experienced engineers
- Participate in Agile ceremonies, estimation and cross-team delivery planning
Essential Skills & Experience:
- Strong commercial experience as a Data Engineer/ETL Developer
- Deep hands-on Talend experience - essential
- Strong Oracle SQL development skills
- Experience designing and developing complex ETL/data integration workflows
- Good understanding of data modelling, data structures and relational databases
- Experience debugging and optimising data pipelines
- Experience working with Git and CI/CD pipelines
- Comfortable working within structured SDLC, testing and release processes
- Experience delivering within Agile, multidisciplinary engineering teams
The key requirement is genuinely strong Talend engineering experience. We are particularly interested in engineers who have built and supported complex production ETL solutions rather than candidates who have only had limited exposure to Talend.
Data Engineer - Talend (Security Cleared) 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 - Talend (Security Cleared)
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We think you need these skills to ace Data Engineer - Talend (Security Cleared)
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.
