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Data Analytics Engineer

Revybe IT Recruitment Ltd
Posted 5 days ago, valid for a day
Location

London, Greater London EC1R 0WX

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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  • The position is for a Data Analytics Engineer specializing in Python, SQL, and Airflow, located in Central London with a hybrid working model of two days in the office.
  • The salary ranges from £60,000 to £70,000, depending on the candidate's experience, and includes shares as part of the compensation package.
  • This role offers the opportunity to shape data systems and tackle real-world business challenges within a fast-growing data consultancy.
  • Candidates should have strong hands-on experience with Python and SQL, along with proven expertise in using orchestration tools like Airflow.
  • A background in analytics or data engineering, ideally in client-facing roles, is required, along with the ability to lead technical discussions and mentor junior team members.

Data Analytics Engineer - Python, SQL, Airflow

Central London - 2 days a week in the office - hybrid working.

£60,000 - £70,000 depending on experience + shares.

We’re hiring on behalf of a fast-growing data consultancy that’s transforming how leading organisations make high-impact, data-driven decisions. This is a standout opportunity for an ambitious Data Analytics Engineer to take a leading role in shaping data systems whilst solving real-world business challenges.

This isn’t just another engineering position. You’ll be sitting at the crossroads of data engineering, advanced analytics, and technical strategy. Whether it’s building robust data pipelines, architecting scalable workflows, or working hand-in-hand with clients to translate data into actionable insights, the work is cutting-edge.

What You’ll Be Doing

  • Designing, building, and optimising scalable data pipelines using Python, SQL, and Airflow
  • Leading the technical delivery of projects across diverse industry verticals
  • Collaborating directly with clients to understand their data challenges and craft tailored solutions
  • Providing mentorship and technical guidance to junior team members
  • Shaping best practices and driving innovation in how the team approaches analytics engineering

What skills you need:

  • Strong hands-on experience with Python (including libraries like Pandas/Numpy)
  • Deep working knowledge of SQL for complex data querying and transformation
  • Proven experience working with orchestration tools such as Airflow
  • A background in analytics or data engineering, ideally in client-facing or cross-functional teams
  • Ability to lead technical conversations and articulate solutions to non-technical stakeholders
  • A collaborative mindset and genuine curiosity around solving data challenges

Tech Stack Snapshot

  • Python, SQL, Airflow
  • AWS, Azure, & GCP depending on the project
  • Bonus: Experience with dbt, Snowflake, or Looker would be amazing, as this business use these tools.

If you're ready to step into a role where you can lead, innovate, and make a tangible difference - this is it. Click "APPLY" to be considered.

Data Analytics Engineer - Python, SQL, Airflow

Central London - 2 days a week in the office - hybrid working.

£60,000 - £70,000 depending on experience + shares.

Apply now in a few quick clicks

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.