Senior BI Data Engineer

Jamf; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading technology firm in Poland is seeking a Senior BI Data Engineer who will lead the creation of data infrastructure and support analytics projects. The position requires a Bachelor’s degree and extensive experience in AWS and big data environments. You will maintain data quality, design, and manage data pipelines, while collaborating with engineering teams. This fully remote role offers a variety of benefits including private healthcare and a flat team structure.

Benefits

Training budget

Private healthcare

Free coffee

Modern office

No dress code

Qualifications

• 5+ years of experience operating big data infrastructure in a cloud-based ecosystem (AWS).
• 5+ years of experience with software engineering standard methodologies.
• 3+ years of experience with SQL, Python, data pipeline, and workflow management tools.

Responsibilities

• Lead the creation of Data Infrastructure and Platforms for analysis.
• Support large-scale analytics projects by creating tools.
• Design, Build, Test, Integrate, Manage, and Optimize data pipelines.

Skills

Python

SQL

AWS

Big data

ETL

Snowflake

Education

Bachelor’s Degree in Mathematics, Computer Science or related field

Tools

Airflow

Jira

ServiceNow

Job description

Senior BI Data Engineer @ Jamf (Polska)

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.

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.

What you’ll do at Jamf

• 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.

Qualifications

• 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).

Benefits

• Python, SQL, AWS, Big data, ETL, Snowflake Tools: Jira, ServiceNow.
• International projects.
• Small teams.
• Training budget.
• Private healthcare.
• Flat structure.
• Sprzęt Apple.
• Free coffee.
• Bike parking.
• Playroom.
• Shower.
• Free snacks.
• Modern office.
• No dress code.
• Kuchnia.