At a Glance
- Tasks: Build and maintain data pipelines and applications using innovative software.
- Company: Join a forward-thinking team in Poole focused on data engineering.
- Benefits: Enjoy a competitive salary, wellness programs, and a generous professional development budget.
- Other info: Great career growth opportunities and a supportive work environment.
- Why this job: Make a real impact by developing bespoke data solutions for exciting projects.
- Qualifications: Strong Python skills and experience with API integration are essential.
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
SC Cleared Data Engineer employer: hackajob
Join our dynamic team in Poole as a Data Engineer, where innovation meets collaboration. We offer a supportive work culture that prioritises professional development with a generous £5,000 annual budget, alongside a wellness programme and private healthcare. With 25 days of annual leave and a focus on employee growth, we provide a rewarding environment for those looking to make a meaningful impact in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data engineering roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and applications. Use GitHub or a personal website to highlight your projects, especially any that align with the job description.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding API integrations. Be ready to discuss how you've tackled similar challenges in past projects – real examples go a long way!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace SC Cleared Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include examples of data pipelines or applications you've developed. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you express why you're a great fit for our team without fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any other relevant programming languages. Be ready to discuss your experience with data pipelines and how you've tackled challenges in previous projects. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed and maintained data projects in the past. Think about specific challenges you faced and how you overcame them. This will demonstrate your ability to think critically and adapt, which is crucial for a Data Engineer role.
✨Understand the Business Needs
Familiarise yourself with the company’s goals and how your role as a Data Engineer fits into their vision. Be ready to discuss how you can help build and maintain data pipelines that align with customer needs. Showing that you understand the bigger picture will set you apart from other candidates.
✨Communicate Effectively
Since you'll be liaising with various stakeholders, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members, making you a valuable asset to the team.
