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Senior Data Engineer

SR2
Posted 3 days ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£30,000 - £36,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • SR2 is seeking several Senior Data Engineers for a UK-based consultancy in Central London, requiring 2-3 days onsite each week.
  • The salary for this position ranges from £80,000 to £95,000, depending on experience.
  • Candidates should have at least 4 years of experience in a Data Engineering role, with strong skills in Python, PySpark, and SQL.
  • The role involves creating data pipelines, implementing CI/CD practices, and working with complex data challenges across various cloud platforms.
  • Ideal candidates should possess strong client-facing skills and be comfortable in a fast-paced environment, with experience in a consultancy or large organization being a significant advantage.

SR2 have just partnered with a UK based consultancy who are urgently looking to hire several Senior Data Engineers.

Location: Central London (2 - 3 days a week onsite).

Salary: £80,000 - 95,0000 (dependant on experience).

Tech / Tools: Python, PySpark, SQL, ELT, Azure DataBricks, Data Factory, Snowflake, CI/CD.

Key responsibilities:

  • Work with the data engineering team to help deliver key projects on time.
  • Create robust, performant data pipelines.
  • Work on messy, complex real-world data challenges.
  • Implement CI/CD practices for data pipelines to improve efficiency and quality of data processing.
  • Demonstrate strong programming / scripting skills in Python.
  • Build robust ETL processes to extract, transform, and load data from diverse sources.
  • Ensure data integrity, security, privacy, and compliance across all data workflows.
  • Continuously monitor system performance and implement strategies to enhance efficiency.
  • You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP).

Ideal background:

  • 4+ years in a Data Engineering position.
  • Excellent knowledge of PySpark, Python and SQL fundamentals.
  • Good experience with Azure DataBricks, Data Factory, Snowflake, CI/CD.
  • Ability to work on messy, complex real-world data challenges.
  • Experience working for a consultancy / large organisation would be a big plus.
  • Must have strong client-facing experience.
  • Be comfortable working in a fast-paced environment, working across several different projects.

You must be eligible for SC clearance.

If interested, please apply with your updated CV and we'll line up a call to discuss the details.

Look forward to hearing from you all!

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.