Lead Data Engineer
Posted on 2/6/2024
INACTIVE
Gearset

201-500 employees

Comprehensive Salesforce DevOps platform for deployment and testing
Company Overview
Gearset, a Salesforce DevOps solution provider, offers a comprehensive suite of services including metadata deployments, data deployments, continuous integration, and automated release pipelines, all designed to accelerate project delivery and enhance collaboration. The platform's deep understanding of Salesforce data and metadata relationships, coupled with its commitment to DevOps best practices, makes it a reliable choice for over 1000 companies, including industry leaders like McKesson, Accenture, and IBM. Additionally, Gearset's commitment to customer education, as demonstrated by their weekly 30-minute demo sessions, showcases their dedication to helping clients optimize their Salesforce release processes.
B2B

Company Stage

Seed

Total Funding

$55M

Founded

2015

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

9%

1 year growth

13%

2 year growth

77%
Locations
Cambridge, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
BigQuery
Apache Spark
SQL
Tableau
AWS
Looker
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 5+ years of experience working with data platforms
  • Experience leading teams and projects
  • Strong SQL and data modelling skills
  • Experience with cloud-based data analytics platforms like Redshift, BigQuery, or Snowflake
  • Analytical approach to problem-solving and architecting end-to-end systems
Responsibilities
  • Line manage, nurture, and grow the data team
  • Work with key stakeholders to define objectives for the data team
  • Drive the velocity of the team to deliver objectives and build solutions
  • Prevent silos by ensuring team collaboration with other departments
  • Maintain, extend, and define the future direction of the data platform
  • Collect and feed data into the platform and build data transformation tooling
  • Partner with stakeholders to understand their requirements and provide support
  • Govern the data platform using software engineering best practices
Desired Qualifications
  • Experience with data transformation tools and languages like dbt, Spark, or Python
  • Experience with business intelligence tools like Tableau, Looker, or AWS QuickSight
  • Experience with data integration tools like Airbyte, Fivetran, or Stitch
  • Experience with DevOps practices and tools including version control, automated testing, and CI/CD
  • Experience in product ownership roles