Analytics Engineer

at  Rightmove

London W1D, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Dec, 2024Not Specified25 Sep, 2024N/AVersion Control,Modelling Tools,Teamwork,It,Engineers,Business Intelligence Tools,Snowflake,Communication SkillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

These are not essential, but we’d love to hear about any experience you have with:

  • Writing Python code, and experience applying best practices like version control and CI/CD.
  • Cloud-based data warehouses (e.g. Big Query, Redshift, Snowflake).
  • Data orchestration frameworks (e.g. Airflow, Luigi, Apache NiFi).
  • Modern data modelling tools (e.g. dbt, Fivetran, Stitch).
  • An ability to facilitate teamwork between technical and business teams to reach consensus

Responsibilities:

THE ROLE

Our analytics engineering function involves leveraging vast user data to drive business strategy and improve user experiences. The ideal candidate will have strong experience in data modelling, building high-quality data assets using DBT in Big Query, as part of our Google Cloud infrastructure. Additionally, the role would also entail responsibilities of creating and maintaining the semantic modelling layer in our modern BI tool. This role will be part of a highly collaborative team focused on delivering innovative products and features.

WHAT YOU’LL BRING TO THE ROLE

  • Multiple years of experience working within the data space as an engineer or analyst.
  • An ability to write and optimise complex SQL queries without thinking about it.
  • Extensive experience building robust, reliable, and high-quality data assets.
  • Experience with modelling data for consumption by business intelligence platforms.
  • Experience with business intelligence tools, especially Looker.
  • Plentiful experience working alongside engineers and knowledge of engineering best practices.
  • Strong documentation and communication skills (connect engineering and analytics teams).

These are not essential, but we’d love to hear about any experience you have with:

  • Writing Python code, and experience applying best practices like version control and CI/CD.
  • Cloud-based data warehouses (e.g. Big Query, Redshift, Snowflake).
  • Data orchestration frameworks (e.g. Airflow, Luigi, Apache NiFi).
  • Modern data modelling tools (e.g. dbt, Fivetran, Stitch).
  • An ability to facilitate teamwork between technical and business teams to reach consensus.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Information Technology

Graduate

Proficient

1

London W1D, United Kingdom