At a Glance
- Tasks: Build and maintain data pipelines and applications using innovative software.
- Company: Join Hexegic, a tech consultancy driving change in software and data.
- Benefits: Enjoy a £5000 professional development budget, wellness programs, and 25 days annual leave.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Make a real impact by developing cutting-edge data solutions for high-performing clients.
- Qualifications: Strong Python skills and experience with data integration and stakeholder management.
The predicted salary is between 50000 - 70000 £ per year.
Location: Poole
Working arrangements: on-site
Clearance: minimum SC clearance, eligible for DV
Salary: £50,000 to £70,000
The role: We are looking to grow our data engineering team with a skilled and innovative data engineer. This role is essential for helping our customer build and maintain data pipelines and applications using proprietary commercial software, ensuring data driven projects can be rapidly prototyped and delivered in line with customer needs.
Core Responsibilities:
- Developing front-end/user-facing application development.
- Data pipeline building for the creation of simple/bespoke data pipelines.
- Design, develop and maintain bespoke end-to-end data project.
- Liaise closely with data scientists, analysts, product owners and other engineers.
- Ensure seamless data integration and software functionality.
What we are looking for:
- Strong python proficiency, or familiarity in a similar language.
- API awareness for data retrieval and integration into processing pipelines.
- Experience of stakeholder management and requirements capture.
- Understanding of pipelines scheduling, health checks and identifying potential mechanisms of failure to ensure digital continuity.
Benefits:
- £5000 a year professional development budget
- Wellness program
- Private healthcare
- £100/month wellness fund
- 25 days annual leave
- Company pension
Who are Hexegic?
Hexegic are a tech consultancy specializing across software, data, cyber and IT. We support high performing businesses and government customers to empower them to safely and effectively achieve their objectives through deep technical expertise and the ability to think differently about problems.
SC Cleared Data Engineer in Poole employer: 慨正橡扯
At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer in Poole
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We think you need these skills to ace SC Cleared Data Engineer in Poole
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!
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How to prepare for a job interview at 慨正橡扯
✨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!
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✨Get Comfortable with Python and R
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✨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.
