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- Tasks: Design and deliver complex data solutions for high-profile customers using cutting-edge technologies.
- Company: Join a forward-thinking company at the forefront of data and machine learning.
- Benefits: Competitive salary, 25 days holiday, pension, and regular social events.
- Why this job: Work with terabytes of data and contribute to innovative machine learning products.
- Qualifications: BSc/MSc in Computing, experience with Python/Java, and strong ETL skills.
- Other info: Collaborative environment with opportunities for professional growth and networking.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Big Data Engineer required to design, craft and deliver hugely complex Data solutions for high profile customers. You will have the opportunity to work with terabytes and in some cases petabytes of seriously interesting data sets, contributing towards the build of data pipelines and manipulating data in a visualisation friendly manner.
With fluency in working with Big Data, we are looking for Data Engineers who can demonstrate experience of working with recent programming languages such as Python and / or Java and have a genuine passion for operating at the forefront of data and machine learning technology. In addition to building large scale data pipelines, the successful Data Engineer can also expect to participate in developing the company\’s next generation of Machine Learning products.
Responsibilities
- Work with the most innovative and scalable data processing technologies
- Build innovative state-of-the‑art solutions
- Work closely with industry leading partners across Cloud, Data and Visualisation technologies
- Collaborate in an agile and dynamic environment with a talented team
Qualifications
- BSc or MSc Educated in a Computing related subject
- Demonstrable programming skills in either Python or Java
- Minimum of 2 years experience working with Big Data solutions
- Strong ETL skills, for example Hadoop, Spark, Flink, Beam
Compensation & Benefits
The successful Big Data Engineer can expect to achieve a competitive salary of up to £80k, plus a benefits package including:
- 25 days holiday
- Pension
- Choice of hardware
- Regular monthly socials and off‑site events
- Exposure to industry experts through mentoring, conferencing and networking events
- Freedom to explore, discover and share the latest tools and technologies
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Big Data Engineer (Python, SQL) employer: Touchpoint Resource Ltd
Contact Detail:
Touchpoint Resource Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Engineer (Python, SQL)
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and 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 technical knowledge and problem-solving skills. We recommend practicing common data engineering scenarios and being ready to discuss your past experiences in detail.
✨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 Big Data Engineer (Python, SQL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Big Data Engineer role. Highlight your experience with Python, SQL, and any relevant Big Data technologies like Hadoop or Spark. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and machine learning, and explain why you’re excited about working with us at StudySmarter. Let us know how you can contribute to our innovative projects.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them! Whether it's building data pipelines or visualising complex datasets, we love to see real examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Touchpoint Resource Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on your knowledge of Big Data tools like Hadoop, Spark, and Flink. Being able to discuss how you've used these technologies in past projects will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you built data pipelines or worked with large datasets. This will demonstrate your ability to tackle complex problems, which is crucial for a Big Data Engineer.
✨Understand the Company’s Vision
Research the company and its products, especially their approach to data and machine learning. Be ready to share how your skills align with their goals and how you can contribute to their next generation of Machine Learning products. This shows genuine interest and initiative.
✨Practice Agile Collaboration
Since the role involves working in an agile environment, be prepared to discuss your experience with teamwork and collaboration. Share examples of how you’ve successfully worked in dynamic teams and adapted to changing requirements. This will highlight your fit for their collaborative culture.