Senior Data Engineer, Docker
€80-100k
+ Equity
More information about location
App development platform
Open for applications
App development platform
501-1000 employees
Open for applications
€80-100k
+ Equity
More information about location
501-1000 employees
Company mission
To increase the time developers spend on innovation, and decrease the time they spend on everything else.
Role
Who you are
- 4+ yrs of relevant industry experience
- Experienced in data modeling and building scalable data pipelines involving complex transformations
- Proficiency working with a Data Warehouse platform (Snowflake or BigQuery preferred)
- Experience with data governance, data access, and security controls. Experience with Snowflake and dbt is strongly preferred
- Experience creating production-ready ETL scripts and pipelines using Python and SQL and using orchestration frameworks such as Airflow/Dagster/Prefect
- Experience designing and deploying high-performance systems with reliable monitoring and logging practices
- Familiarity with at least one cloud ecosystem: AWS/Azure Infrastructure/Google Cloud
- Experience with a comprehensive BI and visualization framework such Tableau or Looker
- Experience working in an agile environment on multiple projects and prioritizing work based on organizational priorities
- Strong verbal and written English communication skills
What the job involves
- Docker is looking for a Senior Data Engineer to join our Data Engineering team which is led by our Director of Data Engineering
- The team transforms billions of data points generated from the Docker products and services into actionable insights to directly influence product strategy and development
- You'll leverage both software engineering and analytics skills as part of the team responsible for managing data pipelines across the company: Sales, Marketing, Finance, HR, Customer Support, Engineering, and Product Development
- In this role, you'll help design and implement event ingestion, data models, and ETL processes that support mission-critical reporting and analysis while building in mechanisms to support our privacy and compliance posture
- You will also lay the foundation for our ML infrastructure to support data scientists and enhance our analytics capabilities
- Our data stack consists of Snowflake as the central data warehouse, DBT/Airflow as the orchestration layer and Looker for visualization and reporting
- Data flows in from Segment, Fivetran, S3, Kafka, and a variety of other cloud sources and systems
- You'll work together with other data engineers, analysts, and subject matter experts to deliver impactful outcomes to the organization
- As the company grows, ensuring reliable and secure data flows to all business units and surfacing insights and analytics is a huge and exciting challenge!
- Manage and develop ETL jobs, warehouse, and event collection tools and test process, validate, transport, collate, aggregate, and distribute data
- Build and manage the Central Data Model that powers most of our reporting
- Integrate emerging methodology, technology, and version control practices that best fit the team
- Build data pipelines and tooling to support our ML and AI projects
- Contribute to enforce SOC2 compliance across the data platform
- Support and enable our stakeholders and other data practitioners across the company
- Write and maintain documentation of technical architecture
- What to expect in the first 30 days:
- Onboard and meet data engineers, analysts, and key stakeholders and attend team meetings
- Develop an understanding of the current data architecture and pipelines
- Review current projects, roadmap, and priorities
- Identify areas for quick wins for improving data engineer and analyst experience
- Understand our privacy and compliance requirements and current design/workflows
- What to expect in the first 90 days:
- Contribute meaningfully to the data engineering projects
- Recommend opportunities for continuous improvement for data pipelines and infrastructure
Our take
Docker supplies a hub and desktop solution to simplify the workflow of app development teams. Originally known for popularising the idea of containerising software, it saw itself outpaced by Kubernetes. However, the company has identified a problem with the growing complexity of containerisation, with some apps consisting of dozens or even hundreds of containers - which is what it now addresses.
Docker has had a difficult time in the recent past, with 2019 seeing it sell off its enterprise business, reduce its workforce by hundreds, and change its leadership team. As a well known brand and ecosystem for containerisation, however, it aims to lure developers back to its product as well as to take advantage of the growing global demand for app development.
Returning to focus on developers rather than large companies was certainly a gamble, but one that seems to have paid off. The company has returned to profitability and raised Series C funding in 2022, which is cited to fund hiring new talent, ramping up its business, and continuing to develop and refine its product. It's also embarked on a series of acquisitions to
Steph
Company Specialist at Welcome to the Jungle
Insights
47% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Mar 2022
$105m
SERIES C
Mar 2021
$23m
SERIES B
Total funding: $497.9m
Company benefits
- 100% company paid medical premiums for employees and dependents
- Flexible Time Off Policy
- “Whaleness” Days — At least 1 company wide day off per month
- Employer Paid Holidays
- Generous Maternity and Parental Leave
- Home Office Set Up Budget
- Monthly Technology Stipend
- Training Allowances
- Life and Disability Insurance
- Retirement Plans
- Virtual and In-Person Social Events
- Docker Swag
- Quarterly Hackathons
- Virtual Coffee with Co-Workers
Company HQ
China Basin, San Francisco, CA
Leadership
Scott Johnston
(CEO, not founder)Has been COO and CPO with Docker prior to CEO role. Before that was VP, Marketing & Product at Puppet and a Venture Partner at Alloy Ventures.
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