At a Glance
- Tasks: Design and develop data solutions using top-notch tools like Pentaho and SAS.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on Agile and DevOps practices.
- Why this job: Make an impact by driving data excellence and mentoring future engineers.
- Qualifications: Experience with ETL tools and strong problem-solving skills required.
The predicted salary is between 42000 - 63000 £ per year.
Job Title: Operational Engineer
Day Rate: £515 per day inside ir35
Clearance Required: SC
Duration: 6 months
Location: Telford/hybrid (2days per week in the office)
Key Responsibilities:
- Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
- Architect and implement scalable data pipelines and services that support Business Intelligence and analytics platforms.
- Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
- Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
- Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Ensure data quality, governance, and security standards are upheld across all solutions.
- Troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:
- SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
- Platform LSF, Jira, Platform Support.
- Strong expertise in ETL tools: Pentaho, Talend.
- Experience with data virtualization using Denodo.
- Proficiency in SAS for data analytics and reporting.
- Oracle (good to have).
- Solid understanding of Agile and Scrum frameworks.
- Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes).
- Strong SQL and data modelling skills.
- Excellent problem-solving, communication, and leadership abilities.
Key Qualifications:
- Proven track record of data projects and teams.
- Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
If you are interested in this role or wish to apply, please feel free to reply to this advert or call me
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Operational Data Engineer employer: CBS Butler
CBS Butler is an exceptional employer, offering a dynamic work environment in Yeovil where innovation meets security in the defence sector. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while working on cutting-edge VMware NSX-T solutions. Our collaborative culture and commitment to technical excellence ensure that your contributions are valued and impactful.
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We think this is how you could land Operational Data Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Operational Data Engineer
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 CBS Butler, 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 CBS Butler. 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 CBS Butler
✨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 CBS Butler!
✨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.
