At a Glance
- Tasks: Transform existing data pipelines from SAS to Python and DBT for Snowflake.
- Company: Join a forward-thinking tech company in London or Edinburgh.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with a dynamic team and career advancement potential.
- 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 60750 - 74250 £ 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 (added advantage)
If you feel you have the skills and experience needed for this role; please do apply now.
Senior Data Engineer (SAS) in London employer: Parker Shaw
As a leading player in the UK Public Sector, our client offers an exceptional work environment for Senior Bid Writers, characterised by a collaborative culture that values innovation and excellence. Employees benefit from comprehensive professional development opportunities, a commitment to continuous improvement, and the chance to make a significant impact on public sector projects. Located in a vibrant area, the company fosters a supportive atmosphere where your contributions are recognised and rewarded, making it an ideal place for those seeking meaningful and fulfilling careers.
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We think you need these skills to ace Senior Data Engineer (SAS) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
