Senior BI Data Engineer at Jamf Australia

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Infrastructure, Data Management, Data Quality, SQL, Python, Data Pipelines, ETL Tools, Big Data, Cloud Ecosystem, Data Warehousing, Dimensional Modeling, Data Security, Data Governance, Analytics Solutions, Batch Processing, Streaming Data

Industry

Software Development

Description

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 administers and manages data used for reporting and visibility at Jamf. This includes creation, management, and ongoing support for growing data creation systems at Jamf. The Senior Data Engineer is an integral member of the Business Intelligence team, responsible for implementing data management systems and tools to increase overall data quality and usage. As a crucial member of the Business Intelligence team at Jamf, the Senior Data Engineer plays a pivotal role in administering and managing the Enterprise data platform for reporting and visibility. This position involves creating, managing, and supporting the growth of data creation systems, with a focus on enhancing overall data quality and usability. The Senior Data Engineer leverages their extensive experience and knowledge of the data landscape to drive data usage within Jamf. Recognised as a leader within the Data teams, they possess domain expertise, proficiency in relevant toolsets, and the ability to understand business needs, providing innovative solutions. This role significantly influences the direction and strategy of the Business Intelligence team. This role is offered as remote. We are only able to accept applications for those based in Poland and have sponsorship to live and work in Poland. #LI-Remote What you can expect to do in this role: Lead the creation of Data Infrastructure and Platforms for analysis and application deployment. Support large-scale analytics projects by creating tools and resources for project teams. Maintain an understanding of key business processes and support customer data access needs. Establish production ready data that is highly integrated and requires advanced transformations. Design, Build, Test, Integrate, Manage and Optimise data pipelines; troubleshoot as necessary. Collaborate with other Jamf engineering teams to build interconnected systems for data delivery. Manage security and recovery of data infrastructure as necessary. Lead Data Engineers in the deployment and management of analytics solutions Identify future data acquisition needs. Lead the development of software solutions around Big Data and distributed systems. Participate in governance teams to define requirements around data infrastructure needs. Adhere to data security and compliance standards. Maintain knowledge of industry tools and resources for data engineering. Assist Business Intelligence team members in applying new methods or tools to standard processes. What we are looking for: Bachelor’s Degree in Mathematics, Computer Science or related field. 5+ year’s experience operating big data infrastructure in a cloud-based ecosystem (AWS) (Required). 5+ year’s experience with software engineering standard methodologies (Required). 3+ year’s experience with SQL, Python, data pipeline and workflow management tools (Required). 3+ year’s experience with establishing and handling of batch processing, streaming data or equivalent data movement platform experience (Required). Deep understanding of the theoretical and practical tradeoffs of various data formats in object/file stores in combination with a variety of ETL tools (Airflow) (Required). 3+ year’s experience identifying and resolving performance and data quality issues (Preferred). 3+ year’s experience with integration of data from multiple data sources (Preferred). 3+ year’s experience working with Snowflake data warehouses and dimensional modeling practices (Preferred). Why Jamf? Named one of Forbes Most Trusted Companies in 2024. We know that big ideas can come from anyone, so we empower everyone to make an impact. Our more than 90% employee retention rate agrees! You will have the opportunity to make a real and meaningful impact for more than 50,000 global customers with the best Apple device management solution in the world. We put people over profits – which is why our customers keep coming back to us. We encourage you to simply be you. We constantly seek and value different perspectives to ensure Jamf is a place where everyone feels comfortable and can be successful. 23 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes). Over 100,000 Jamf Nation users, the largest online IT community in the world. What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace. Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly. Above it all, waves our banner of #OneJamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement. What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day. Get social with us and follow the conversation at #OneJamf Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at recruiting@jamf.com

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Responsibilities

The Senior Data Engineer is responsible for implementing data management systems and tools to enhance data quality and usability. They lead the creation of data infrastructure and support large-scale analytics projects.