Build and manage robust data pipelines and integrations.
Develop and own data solutions to meet company needs.
Take ownership for delivering engineering tasks on time and to specifications
Be a technical expert in the data engineering discipline.
Build strong relationships with key stakeholders outside the team.
Be responsible for data quality and ensuring problems are resolved swiftly.
Co-responsible for robust processes and technical best practice.
Co-responsible for the data platform and technology.
Foster skills, share knowledge and cross-train with peers and juniors
Requirements
Extensive experience delivering data engineering projects
Advanced SQL skills.
Advanced Python skills
Experience with PySpark library.
Experience with Databricks and Data Lakehouse.
Experience with code control/Git
Experience managing CI/CD processes.
DBT experience (advantageous, but not required)
Infrastructure as Code (e.g. Terraform) (advantageous, but not required)
Google Analytics (advantageous, but not required)
Google Ad Manager (advantageous, but not required)
Atlassian (Jira, Confluence) (advantageous, but not required)
Tech Stack
PySpark
Python
SQL
Terraform
Benefits
A relaxed working environment with regular socials including a summer festival
Supportive well-being initiatives and benefits, talks & workshops, and Mental Health First aiders & Champions
25 days holiday plus a day for your birthday. Our offices will be closed between Christmas and New Year’s which are in addition to your annual entitlement
Tailored training and development through both our inhouse learning platform and LinkedIn Learning
A progressive and transparent culture focused on your development
Flexible / hybrid working plus early finish Fridays
Cycle to work scheme
Enhanced Family Policies including paternity, adoption and surrogacy leave. We also provide a pregnancy loss, fertility, and carers policy
Competitive pension plans and Life Assurance
A newly renovated modern office with lots of collaborative spaces