Senior Data Engineer — Hybrid/Remote Analytics Platform

Immersive Labs Inc.

West of England

Hybrid

GBP 70,000 - 95,000

Full time

5 days ago
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Benefits offered by this job

25 days annual leave + 2 volunteering
Birthday off
Private healthcare plan
7% matched pension
Learn Anything fund

Job summary

Immersive Labs, Bristol-based growth, seeks a Senior Data Engineer to join our Engineering team in a hybrid role. You will design, build and maintain Python applications for customer facing reporting, and work with data pipelines to ensure data quality and consistency across platforms.

You’ll partner with analytics engineers to implement data model changes, apply domain knowledge to empower the wider business, and participate in hack weeks to explore innovative data solutions.

Qualifications

  • Design, build and maintain high quality python applications for customer facing reporting.
  • Maintain and develop data pipelines to ensure data quality and consistency.
  • Collaborate closely with analytics engineers to implement data model changes.
  • Apply domain knowledge to enable the rest of the business to access the data they need to make informed business decisions.

Responsibilities

  • Design, build and maintain high quality python applications for customer facing reporting
  • Maintain and develop data pipelines to ensure data quality and consistency
  • Collaborate closely with analytics engineers to implement data model changes
  • Apply domain knowledge to enable the rest of the business to access the data they need to make informed business decisions

Skills

Python programming
Data analysis
SQL proficiency
Cloud data warehouse usage

Tools

Plotly
Flask
SQLAlchemy
dbt
Terraform
CloudFormation
Power BI
Looker
AWS
Azure
GCP

Job description

Immersive Labs, Bristol-based growth, seeks a Senior Data Engineer to join our Engineering team in a hybrid role. You will design, build and maintain Python applications for customer facing reporting, and work with data pipelines to ensure data quality and consistency across platforms.

You’ll partner with analytics engineers to implement data model changes, apply domain knowledge to empower the wider business, and participate in hack weeks to explore innovative data solutions.

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