Senior Open Source Data Engineer – Onsite Portsmouth

Senior Open Source Data Engineer – Onsite Portsmouth

Portsmouth Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Searchability

At a Glance

  • Tasks: Design and build scalable data applications with a focus on security.
  • Company: Join a leading technology consultancy in Portsmouth.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Exciting opportunity for professional development in a tech-driven company.
  • Why this job: Make an impact by developing innovative data solutions in a collaborative team.
  • Qualifications: Strong Python skills, data engineering experience, and active SC clearance required.

The predicted salary is between 50000 - 65000 Β£ per year.

Searchability is looking for an experienced Data Engineer to join a leading technology consultancy in Portsmouth. The role involves designing and building scalable data applications, focusing on secure and production-grade services.

Key responsibilities include:

  • Developing event-driven data solutions
  • Supporting containerised deployments
  • Leveraging CI/CD practices

Candidates must have strong Python and data engineering experience, along with active SC clearance and a British passport.

Senior Open Source Data Engineer – Onsite Portsmouth employer: Searchability

Join a leading technology consultancy in Portsmouth, where innovation meets collaboration. We pride ourselves on fostering a dynamic work culture that encourages professional growth and development, offering employees access to cutting-edge projects and the latest technologies. With a focus on employee well-being and a commitment to diversity, we provide a supportive environment that empowers our team to excel and make a meaningful impact in the tech industry.

Searchability

Contact Details:

Searchability Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Open Source Data Engineer – Onsite Portsmouth

✨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 Searchability!

✨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 Senior Open Source Data Engineer – Onsite Portsmouth at Searchability.

✨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 Searchability.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Open Source Data Engineer – Onsite Portsmouth at Searchability, 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 Senior Open Source Data Engineer – Onsite Portsmouth

Data Engineering
Python
Event-Driven Data Solutions
Containerised Deployments
CI/CD Practices
Scalable Data Applications
Secure Services

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 Searchability, 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 Searchability. 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 Searchability

✨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 Searchability!

✨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.