Business Intelligence Data Engineer II (Platform)

Jamf•Minneapolis, MN

7d•Remote

About The Position

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: Business Intelligence at Jamf is responsible for all data reporting and visibility at Jamf. This includes creation, management, and ongoing support for growing data creation systems at Jamf. The Data Engineer II is an integral member of the Business Intelligence team, responsible for implementing data management systems and tools to increase overall data quality and usage. The Data Engineer II has experience building data solutions using key data structures and systems. They have applied their knowledge of business functions and assisted in building tools that support those business processes. Their experience and data discipline help provide tools and solutions that continue to provide data to a larger audience of teams in meaningful ways; supporting their decision making based on the data. This role if offered as remote in Minneapolis, MN; Eau Claire, WI; or Austin, TX. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations.

Requirements

Minimum 3 years of experience working with, analyzing, and understanding data using SQL (Required)
Minmum 3 years of experience managing clients or working with them on tasks like requirements gathering, impact analysis, etc. (Required)
Minimum of 3 years building pipelines in ELT/ETL and using Python programing or equlivant with experience in automating common operational processes like reloading, restarting, schema drift, among others. (Required)
Minimum of 2 years of experience coding in another data analysis language, preferably Python (Required)
4 Year / Bachelor's Degree in Mathematics, Computer Science, Engineering or related field (Required)
Participation in ongoing security training is mandatory
Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches
Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf

Nice To Haves

Minimum of 3 years of experience implementing and managing infrastrcuture on AWS Cloud platform. (Preferred)
Working knowledge of using Docker/Kubernetes (Preferred)
Query and warehouse optimization skills
Working within a fast paced, agile environment (scrum)
Ability to engage with and establish trust and rapport with all levels of customers and employees
General knowledge of Apple products and eco-systems

Responsibilities

Contribute to the creation of Data Infrastructure platforms, analytics and application deployment
Help establish production ready data that crosses and requires integration across multiple sources.
Generate and maintain complex data sets needed for analytics
Conduct analysis of the data in its native format to determine quality issues and define solutions to addressing through data delivery
Collaborate with Analytic Engineers and Data Analysts to help create datasets supporting analytics and predictive modelling needs.
Create scripts, tools, or other software solutions to help enforce data governance policies
Understand business KPIs and the definitions used in reporting on them
Collaborate with business units to identify and measure additional KPIs in support of further efforts.
Collaborate with Data stewards to improve data health, quality, and governance
Understand and execute within the data quality metrics set by the Data stewards
Assist data quality initiatives by engineering solutions to enforce data governance policies
Assist data quality initiatives by automated transformation of errant data
Maintain an understanding of the data creating business processes
Collaborate with Stekholder groups to create innovative ways to deliver data and insights to internal customers
Maintain an understanding of the reporting and analytics tools used by the organisation
Support one time needs to extract, transform, and load data sets in existing tools and systems
Assist in identifying and choosing new tools used by the Business Intelligence team.
Monitor and assist in issue resolution from our service desk.