At a Glance
- Tasks: Transform existing data pipelines from SAS to Python and DBT for Snowflake.
- Company: Join a forward-thinking company in the heart of London & Edinburgh.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects and a collaborative team environment await you.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience with SAS, Python, DBT, and data management in Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
We are currently recruiting for a Senior Data Engineer (SAS). You will rewrite existing pipelines (SAS, Info, pearl, shell scripts) to target state which will be Python and DBT transformation based to be then loaded to SF on Azure.
Skills:
- SAS (primary)
- pearl, shell scripts (secondary)
- Experience converting to Python, DBT based pipelines and loading data to Snowflake
- Data management experience in Snowflake with expertise in Python, DBT, Airflow or similar technologies
- Hands-on experience in DBT & SQL (Snowflake is an added advantage)
If you feel you have the skills and experience needed for this role; please do apply now.
Job reference: PS14448
Job type: Full Time, Permanent, Contract
Job Location: London & Edinburgh
Negotiable
Senior Data Engineer (SAS) employer: Parker Shaw
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Data Engineer will directly impact our data transformation initiatives. With opportunities for professional growth and development in the vibrant cities of London and Edinburgh, you will be part of a team that embraces cutting-edge technologies and fosters a supportive environment for continuous learning. Enjoy competitive benefits and the chance to work on exciting projects that make a real difference in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (SAS)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with SAS and Python. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SAS to Python conversions or DBT transformations. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Snowflake, Airflow, and any relevant tools. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer (SAS)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SAS, Python, and DBT. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
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 your passion for data engineering and how your background aligns with our needs.
Showcase Your Technical Skills:When detailing your experience, focus on your hands-on work with DBT, SQL, and Snowflake. We love seeing specific examples of how you've transformed pipelines and managed data, so get into the nitty-gritty!
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’s super easy!
How to prepare for a job interview at Parker Shaw
✨Know Your Tech Stack
Make sure you’re well-versed in SAS, Python, and DBT. Brush up on your knowledge of converting pipelines and loading data to Snowflake. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced while rewriting pipelines or managing data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled issues effectively.
✨Familiarise Yourself with the Company
Research the company’s data management practices and any recent projects they’ve undertaken. This will help you tailor your responses and demonstrate your genuine interest in their work and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technologies they use, and their future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
