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- Tasks: Join an Agile team to build a modern data platform using Python and PySpark.
- Company: Work with a global tech leader known for innovation and excellence.
- Benefits: Enjoy remote work, competitive salary, bonuses, and extensive training opportunities.
- Why this job: This role offers career growth, mentorship, and the chance to impact cutting-edge technology.
- Qualifications: Strong experience in Python, PySpark, SQL, and cloud platforms like AWS is required.
- Other info: Open to candidates from all backgrounds; unlimited career progression for top performers.
The predicted salary is between 65000 - 75000 £ per year.
Senior Data Engineer (Python, PySpark) – Remote
(Data Engineer, Senior Data Engineer, Python, PySpark, SQL, C#, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI / CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Senior Data Engineer, Data Engineer)
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
Salary: £65k – £75k + Bonus + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
NOIRUKTECHREC
NOIRUKREC
Senior Data Engineer (Python, PySpark) - Remote employer: Noir
Contact Detail:
Noir 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 ready to discuss how you've used it in past projects. Being able to articulate your understanding of this platform will set you apart from other candidates.
✨Tip Number 3
Prepare to talk about your experience with Agile methodologies and how you've contributed to team dynamics in a Scrum environment. This is crucial for fitting into their exceptional Agile engineering team.
✨Tip Number 4
Show your passion for Data Science by discussing any relevant projects or experiences with Machine Learning and AI. This will align well with the company's focus on innovation and cutting-edge technologies.
We think you need these skills to ace Senior Data Engineer (Python, PySpark) - Remote
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Python, PySpark, and SQL in your CV. Provide specific examples of projects where you utilized these technologies, especially in an Agile environment.
Showcase Your Skills: List your skills related to Databricks, Machine Learning, and Cloud Platforms like AWS. Mention any relevant certifications or training that demonstrate your expertise in these areas.
Tailor Your Cover Letter: Write a personalized cover letter that reflects your understanding of the company's culture and values. Discuss how your background aligns with their needs and how you can contribute to their innovative projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application shows attention to detail, which is crucial for a Senior Data Engineer role.
How to prepare for a job interview at Noir
✨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 Mindset
Since the role emphasizes Agile methodologies, be ready to share examples of how you've worked in Agile teams. Discuss your experience with Scrum, TDD, and BDD, and how these practices have improved your work.
✨Emphasize Continuous Improvement
Talk about your commitment to continuous improvement and how you've contributed to this culture in previous roles. Mention any initiatives you've led or participated in that focused on enhancing development standards or team practices.
✨Prepare for Behavioral Questions
Expect questions that assess your ability to mentor others and collaborate with architects. Prepare examples that showcase your leadership skills and how you've helped team members grow in their roles.
