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- Tasks: Join a top-tier Agile team to build a modern data platform using Python and PySpark.
- Company: Work for a global tech leader known for innovation and excellence.
- Benefits: Enjoy remote work, unlimited career progression, and extensive training opportunities.
- Why this job: Be part of a culture that values continuous improvement and mentorship in data engineering.
- Qualifications: Strong experience in Python, PySpark, SQL, and familiarity with Databricks required.
- Other info: Open to candidates from all backgrounds; this role is a game-changer for your career.
The predicted salary is between 48000 - 84000 £ per year.
Social network you want to login/join with:
Client:
Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
3098ac87bfc0
Job Views:
5
Posted:
11.02.2025
Expiry Date:
28.03.2025
Job Description:
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Senior Data Engineer with significant Python and PySpark experience to join an exceptional Agile engineering team and work on enterprise grade software systems using Databricks, Python, Spark, R, and SQL.
We are seeking a Senior Data Engineer capable of providing input on best practices and development standards, and mentoring of other team members. The role will include working with architects, creating automated tests, instilling a culture of continuous improvement, and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, driving innovation, defining data platform stacks, and contributing to the great company culture.
The successful candidate will have strong Python, PySpark, and SQL experience, possess a clear understanding of Databricks, as well as a passion for Data Science (R, Machine Learning, and AI). Database experience with SQL and No-SQL – Aurora, MS SQL Server, MySQL is expected, as well as significant C#, Agile, and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code, and strong Cloud Platform knowledge, ideally with AWS, is also key.
We are keen to hear from talented Senior Data Engineer candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Remote
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
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Senior Data Engineer (Python, Pyspark) - Remote employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Python, Pyspark) - Remote
✨Tip Number 1
Make sure to showcase your experience with Python and PySpark in your conversations. Highlight specific projects where you've utilized these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with Databricks and be prepared to discuss how you've used it in past roles. Understanding its features and benefits will help you stand out during interviews.
✨Tip Number 3
Emphasize your experience with Agile methodologies and how you've contributed to team dynamics. Being able to articulate your role in fostering a collaborative environment can set you apart.
✨Tip Number 4
Stay updated on the latest trends in Data Engineering, especially around Cloud Platforms like AWS. Showing that you're proactive about learning can impress potential employers.
We think you need these skills to ace Senior Data Engineer (Python, Pyspark) - Remote
Some tips for your application 🫡
Understand the Role: Make sure you thoroughly understand the responsibilities and requirements of the Senior Data Engineer position. Highlight your experience with Python, PySpark, SQL, and any relevant technologies mentioned in the job description.
Tailor Your CV: Customize your CV to reflect your skills and experiences that align with the job description. Emphasize your expertise in building data platforms, working with Databricks, and your knowledge of Agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to mentor others. Mention specific projects where you've driven innovation or improved processes, and express your enthusiasm for contributing to the company's culture.
Highlight Continuous Learning: Since the company values training and career development, mention any relevant certifications, courses, or self-study initiatives you've undertaken in data science, machine learning, or cloud technologies like AWS.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PySpark, and SQL in detail. Highlight specific projects where you've utilized these technologies, especially in building data platforms or working with Databricks.
✨Demonstrate Agile Methodologies
Since the role involves working in an Agile environment, be ready to share examples of how you've contributed to Agile teams. Discuss your experience with Scrum and how you’ve implemented best practices in previous roles.
✨Emphasize Continuous Improvement
Talk about your approach to continuous improvement and how you've instilled this culture in past teams. Mention any automated testing strategies you've implemented and how they benefited the project.
✨Express Your Passion for Data Science
Convey your enthusiasm for Data Science, Machine Learning, and AI. Share any relevant experiences or projects that demonstrate your passion and understanding of these areas, as they are crucial for this role.
