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- Tasks: Join an 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, competitive salary, bonuses, pension, and extensive training.
- Why this job: This role offers career growth, mentorship opportunities, and a chance to drive innovation.
- Qualifications: Strong experience in Python, PySpark, SQL, and familiarity with Databricks required.
- Other info: Unlimited career progression for top performers and a vibrant company culture.
The predicted salary is between 65000 - 75000 £ per year.
Senior Data Engineer (Python, PySpark) – Remote
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.
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.
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Senior Data Engineer (Python, Pyspark) - Remote employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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 highlight your experience with Python and PySpark in your conversations. Be ready to discuss 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 talk about how you've used it in past roles. Understanding its features and benefits will show that you're not just familiar with the tool, but that you can leverage it effectively.
✨Tip Number 3
Since the role emphasizes mentoring and best practices, think of examples where you've led a team or improved processes. This will help you convey your leadership skills and commitment to continuous improvement.
✨Tip Number 4
Brush up on your knowledge of cloud platforms, especially AWS. Being able to discuss your experience with Infrastructure as Code and Continuous Integration tools will set you apart from other candidates.
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 fully 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. 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 how you can contribute 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, especially AWS.
How to prepare for a job interview at ZipRecruiter
✨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 development process.
✨Prepare for Behavioral Questions
Expect questions that assess your ability to mentor others and contribute to team dynamics. Prepare examples that showcase your leadership skills and how you've helped colleagues grow in their roles.
