Senior Data Engineer
| Posting date: | 25 October 2024 |
|---|---|
| Salary: | £70,000 to £75,000 per year |
| Hours: | Full time |
| Closing date: | 24 November 2024 |
| Location: | UK |
| Remote working: | Fully remote |
| Company: | Arbor Education |
| Job type: | Permanent |
| Job reference: |
Summary
Core responsibilities
Assist and lead the development and maintenance of data platform capability and infrastructure
Assist and lead on review of data platform changes and pull requests
Maintain, extend and upgrade the CI/CD pipeline for data projects
Deploy and operate new data-related tooling
Share knowledge with the wider team and participate in tech-talks, as well as team based learning sessions
Write integrations between Arbor’s internal operational data systems
Mentor others on data engineering concepts and practices including both inside and outside of the immediate team.
Work closely with the Engineering Manager, Lead Data Engineer and PM in practising and improving excellent engineering practices within the team
About you
Extensive experience writing SQL
Extensive experience writing Python
Experience as Senior Engineer on a data warehouse, ideally Snowflake
Experience building and/or maintaining a CI/CD pipeline
Experience using modern orchestration tooling e.g. Prefect, Luigi, Airflow
Experience developing infrastructure in Terraform or a similar IAC tool
Experience using Docker
A positive and proactive attitude to problem solving
A team player who is willing to help where they can and can help foster further collaboration
Understanding of modern software engineering principles
Bonus skills
Experience with dbt
Experience with AWS
Experience with data quality tooling e.g. Great Expectations
Knowledge of EdTech or the wider education space
Exposure to machine learning
Familiarity with a data visualisation or BI tool e.g. PowerBI, Looker, Metabase
What we offer
The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer:
A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!
32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas
Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay
5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!
Access to services such as Calm, Bippit (financial wellbeing coaching) and Health Assured (Employee assistance programme)
Private Dental Insurance
All of our roles champion flexible working and we are happy to discuss what this means to you!
Social committees that plan team, office and company wide events to bring people together and celebrate success
Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc)
Volunteer with a charity of your choice for a day each year
Dog friendly offices!
Interview process
Phone screen
1st stage
2nd stage
Assist and lead the development and maintenance of data platform capability and infrastructure
Assist and lead on review of data platform changes and pull requests
Maintain, extend and upgrade the CI/CD pipeline for data projects
Deploy and operate new data-related tooling
Share knowledge with the wider team and participate in tech-talks, as well as team based learning sessions
Write integrations between Arbor’s internal operational data systems
Mentor others on data engineering concepts and practices including both inside and outside of the immediate team.
Work closely with the Engineering Manager, Lead Data Engineer and PM in practising and improving excellent engineering practices within the team
About you
Extensive experience writing SQL
Extensive experience writing Python
Experience as Senior Engineer on a data warehouse, ideally Snowflake
Experience building and/or maintaining a CI/CD pipeline
Experience using modern orchestration tooling e.g. Prefect, Luigi, Airflow
Experience developing infrastructure in Terraform or a similar IAC tool
Experience using Docker
A positive and proactive attitude to problem solving
A team player who is willing to help where they can and can help foster further collaboration
Understanding of modern software engineering principles
Bonus skills
Experience with dbt
Experience with AWS
Experience with data quality tooling e.g. Great Expectations
Knowledge of EdTech or the wider education space
Exposure to machine learning
Familiarity with a data visualisation or BI tool e.g. PowerBI, Looker, Metabase
What we offer
The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer:
A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!
32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas
Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay
5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!
Access to services such as Calm, Bippit (financial wellbeing coaching) and Health Assured (Employee assistance programme)
Private Dental Insurance
All of our roles champion flexible working and we are happy to discuss what this means to you!
Social committees that plan team, office and company wide events to bring people together and celebrate success
Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc)
Volunteer with a charity of your choice for a day each year
Dog friendly offices!
Interview process
Phone screen
1st stage
2nd stage