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For Companies At a Glance
- Tasks: Build bespoke Python solutions and enhance your data engineering skills.
- Company: Join Data Intellect, a leading data and technology consultancy.
- Benefits: Enjoy flexible working, international travel, and healthcare cover.
- Why this job: Make an impact by solving complex challenges in finance and beyond.
- Qualifications: Bachelor's degree in STEM and two years of Python development experience.
- Other info: Dynamic team environment with exciting social events and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges in finance and beyond.
What you’ll be doing:
- Build and enhance bespoke Python & Data Engineering solutions for our clients
- Enhance and grow your data engineering knowledge among subject matter experts in our learning and development ecosystem
- Deliver high quality, best practice software solutions
- Use a range of architectures, tools and frameworks
- Have the opportunity to learn and gain certification in new technologies
- Recommend, implement and knowledge share new ideas and innovations
- Work as part of a dynamic team
- Produce clean and efficient solutions based on specifications
- Liaise directly and in-person with client team in London
Qualifications:
- Minimum bachelor’s degree, ideally in computer science, mathematics or other STEM discipline.
- Minimum two years’ software development experience with strong programming ability in Python
- Experience with SQL and relational databases, e.g. PostgreSQL.
- Experience working in Linux, on the command line.
- Excellent communication skills and ability to collaborate well with others.
Bonus points if you have:
- Experience with C++ is advantageous but not essential.
- Knowledge of AWS e.g. EC2, RDS, S3.
- DevOps knowledge e.g. git, Docker, GitHub Actions.
- Exposure to front-end development e.g. TypeScript, React.
- Financial domain knowledge is advantageous but training will be offered.
What we offer:
- Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance.
- International travel opportunities – we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong, Singapore & Toronto.
- Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
- Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness
Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.
Python Engineer employer: Data Intellect
Contact Detail:
Data Intellect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Data Intellect. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any data engineering solutions you've built. When you apply through our website, include links to your GitHub or personal site to give us a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We love candidates who can communicate well and collaborate effectively, so practice explaining your thought process and how you work with others.
✨Tip Number 4
Follow up after your interview! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds as we make decisions.
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Engineer role. Highlight your experience with Python, SQL, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Projects: If you've got any personal or professional projects that showcase your Python skills, don’t hesitate to mention them. We’re keen to see your coding style and problem-solving abilities in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Data Intellect
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your programming ability.
✨Familiarise Yourself with SQL and Databases
Since experience with SQL and relational databases is key, take some time to review your knowledge of PostgreSQL or similar systems. Be prepared to answer questions about database design and optimisation, as well as how you’ve used SQL in previous roles.
✨Show Off Your Communication Skills
Data Intellect values collaboration, so be ready to showcase your communication skills. Think of examples where you’ve worked effectively in a team or liaised with clients. This will demonstrate that you can thrive in a dynamic environment.
✨Research the Company and Its Culture
Understanding Data Intellect’s mission and values will give you an edge. Familiarise yourself with their approach to data solutions and be ready to discuss how your skills align with their goals. Showing genuine interest in the company can set you apart from other candidates.
