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- Tasks: Design and maintain systems for handling large volumes of data.
- Company: Diverse and inclusive tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and a supportive environment.
- Why this job: Join a team that values partnership and drives impactful data projects.
- Qualifications: Experience with Java, Python, SQL, and data management tools.
- Other info: We celebrate diversity and offer reasonable adjustments throughout the recruitment process.
The predicted salary is between 36000 - 60000 £ per year.
The ability to work with data throughout its lifecycle, from collection and storage to processing and analysis. Data developers are responsible for designing, implementing and maintaining the systems and infrastructure needed to handle large volumes of data. They work on integrating data from a variety of sources, ensuring that different data sets can be effectively combined and analysed.
They can also utilise programming languages such as Python, Java or SQL and tools such as Apache Spark or LakeFS, for data processing and management. Useful - R, Apache Spark. Very useful - Python, SQL, JSON, LakeFS.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Java Developer in City of London employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Java Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to fellow Java developers and data enthusiasts on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Java, Python, or SQL. This gives potential employers a sneak peek into your coding abilities and problem-solving skills.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data lifecycle management and tools like Apache Spark and LakeFS. Practice common coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about supporting diverse candidates, so don’t hesitate to reach out if you need any adjustments during the process.
We think you need these skills to ace Java Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data lifecycle management and the programming languages mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects: If you've worked on any relevant projects, especially using Java, Python, or tools like LakeFS, be sure to include them. We love seeing practical examples of your work and how you tackle data challenges.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're a great fit for the role and how you can contribute to our team.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, especially Java, Python, SQL, and LakeFS. Brush up on your knowledge of data processing frameworks like Apache Spark too, as they might come up during technical discussions.
✨Showcase Your Data Lifecycle Knowledge
Be prepared to discuss your experience with data throughout its lifecycle. Think about specific projects where you’ve collected, stored, processed, and analysed data. Sharing concrete examples will demonstrate your hands-on experience and understanding of the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in data integration and analysis. Practice explaining your thought process clearly and logically, as this will show your analytical abilities and how you approach challenges.
✨Emphasise Teamwork and Communication
Since collaboration is key in data development, be ready to talk about how you’ve worked with others in past roles. Highlight any experiences where you’ve successfully integrated diverse data sets or collaborated with cross-functional teams to achieve a common goal.