At a Glance
- Tasks: Design and maintain data pipelines using Databricks, AWS, Python, and PySpark.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Be part of a team that prioritises data governance and security.
- Why this job: Make an impact by transforming data and ensuring its integrity in a dynamic environment.
- Qualifications: 7 years of experience in data engineering with strong skills in ETL processes and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling
Minimum years of experience: 7 years
Job Description:
- Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams.
- Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
- Must have hands-on experience with PySpark, Python, AWS, and data modelling.
- Must have experience in ETL processes.
- Must have hands-on experience in Databricks development.
- Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures.
- Must have hands-on experience in SQL development.
- Excellent communication skills.
Remote Senior Data Engineer in York employer: N Consulting Ltd
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior Data Engineer will be recognised and rewarded. With a strong commitment to employee growth, we provide ample opportunities for professional development and training, all while enjoying the flexibility of remote work. Our supportive environment fosters creativity and teamwork, making it an ideal place for those seeking meaningful and impactful employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer in York
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, AWS, and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Be ready to discuss your hands-on experience with data pipelines and ETL processes, as well as how you've tackled data integrity and governance.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Remote Senior Data Engineer in York
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, AWS, Python, and PySpark. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience in data pipelines and ETL processes!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineer role. Share specific examples of your work with data modelling and maintaining data integrity that align with what we’re looking for.
Show Off Your Communication Skills:Since excellent communication is key for this role, make sure your application reflects that. Whether it’s your CV or cover letter, keep your language clear and concise. We want to see how you can convey complex ideas simply!
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’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at N Consulting Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, AWS, Python, and PySpark. Brush up on your data modelling skills and be ready to discuss specific projects where you've designed and maintained data pipelines. The more examples you can provide, the better!
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL processes. Be ready to explain how you've moved and transformed data across different layers (Bronze, Silver, Gold) using ADF, Python, and PySpark. Real-world scenarios will help demonstrate your hands-on experience.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will not only show your understanding but also your ability to collaborate with non-technical team members.
✨Data Integrity Matters
Familiarise yourself with data governance and security policies. Be prepared to discuss how you've ensured data integrity and accuracy in your previous roles. Highlighting your commitment to these areas can set you apart from other candidates.
