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For Companies At a Glance
- Tasks: Build and manage scalable data pipelines using cutting-edge cloud services.
- Company: Join Ubique Systems, a leader in IT services and consulting.
- Benefits: Enjoy hybrid working, competitive pay, and a dynamic work environment.
- Why this job: Dive into big data technologies and make a real impact in the tech world.
- Qualifications: Proficiency in Python and experience with cloud services like Databricks and Snowflake.
- Other info: Great opportunity for career growth in a fast-paced, collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Big Data Engineer for one of our customers who has expertise in:
- Proficiency in Python programming, including experience in writing efficient and maintainable code.
- Hands‐on experience with cloud services, especially Databricks, for building and managing scalable data pipelines.
- Proficiency in working with Snowflake or similar cloud‐based data warehousing solutions.
- Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices.
- Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing.
- Familiarity with data orchestration tools, such as Apache Airflow.
- Familiarity with agile methodologies and the ability to work collaboratively in a fast‐paced, dynamic environment.
- Experience with code versioning tools (e.g., Git).
- Meticulous attention to detail and a passion for problem solving.
- Knowledge of Linux operating systems.
- Familiarity with REST APIs and integration techniques.
Employment type: Inside IR35 Contract. Hybrid working: Glasgow only. Note: Only apply if you have a valid visa in the EU region. Sponsorship will not be given.
Seniority level: Associate. Job function: Information Technology. Industry: IT Services and IT Consulting.
Big Data Consultant employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with big data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Databricks, or any big data technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of ETL principles and data warehousing concepts. We recommend practising common interview questions related to big data and 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 love seeing candidates who are proactive and eager to join our team!
We think you need these skills to ace Big Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud services like Databricks, and any big data technologies you've worked with. We want to see how your skills match the job description, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how your previous experiences make you a great fit for the role. We love seeing enthusiasm and personality!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, be sure to mention them. We’re interested in your hands-on experience with data pipelines, ETL processes, and any tools like Apache Airflow.
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 from us during the process!
How to prepare for a job interview at Ubique Systems
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with Databricks and Snowflake. Be prepared to explain how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Big Data Experience
Highlight your hands-on experience with big data technologies like Hadoop and Spark. Prepare specific examples of how you've processed large datasets and the impact your work had on previous projects. This will demonstrate your practical knowledge and problem-solving abilities.
✨Familiarise Yourself with ETL and Data Modelling
Since the role requires a solid understanding of ETL principles and data warehousing concepts, be ready to discuss your approach to data integration. Think about how you've designed data models in the past and be prepared to share your thought process during the interview.
✨Emphasise Collaboration and Agile Experience
Ubique Systems values teamwork and agility, so be sure to talk about your experience working in collaborative environments. Share examples of how you've contributed to team projects and adapted to changing requirements, showcasing your ability to thrive in a fast-paced setting.
