BI Engineer

Who are we?

Workiz is the leading SaaS platform for field service teams, trusted by over 120,000 pros. We help real, hard working people run and grow their businesses, with an end-to-end solution that enables them to schedule jobs, dispatch, invoice, track performance, get paid in the field, plus so much more  - all in one place!

We’re on a mission to revolutionize our industry by  “automating everything but holding the wrench”, providing our users with smart, AI-powered tools that will replace time consuming tasks, generate more revenue, and provide peace of mind, freeing our users to focus on building their small business into an empire.  

Who are you?

You are a highly technical team player with a passion for transforming raw data into actionable insights that drive meaningful business impact. You thrive in dynamic environments, bring a proactive mindset, and always seek smarter, more efficient solutions. You challenge assumptions and push back when needed to ensure scalable, high-quality data solutions that meet both internal and external needs.

So, what will you be doing all day?

• Lead end-to-end BI initiatives from architecture and modeling to implementation and optimization
• Own and manage Workiz’s ETL pipelines using Airflow and Python to load data into our data warehouse
• Apply transformation logic with dbt to structure and align data with business and compliance requirements
• Collaborate with cross-functional teams to define data requirements and build scalable business data models that support both internal operations and customer-facing use cases
• Develop dashboards, reports, and alerting mechanisms using tools like Looker and Tableau to support data-driven decisions
• Ensure data quality and accuracy through rigorous testing, monitoring, and governance frameworks
• Work closely with stakeholders in a fast-growing environment to prioritize and deliver impactful insights

Ideally, we’re looking for

• At least 3 years of experience as a BI Engineer or Analytics Engineer, with end-to-end ownership of ELT/ETL processes, data modeling - a must.
• Strong SQL skills.
• Hands-on experience with cloud-based ELT tools such as Airflow, Rivery, Fivetran, or dbt.
• Proficiency in data modeling and solid understanding of Data Warehouse concepts.
• Experience working with BigQuery or equivalent data warehouses (e.g., Snowflake, Databricks).
• Working knowledge of Python for data manipulation and automation.
• Experience translating business requirements into technical specifications and delivering actionable data solutions.
• Track record of implementing best practices in data extraction, modeling, and dashboard building to ensure quality and consistency across the organization.

Also this would be nice as an advantage:

• Experience with data visualization tools like Tableau, Looker.
• Familiarity with version control tools (e.g., Git) and collaborative development workflows.
• Understanding of business domains such as sales, marketing, finance, or product analytics.

Hiring process with us

At Workiz, we aim to complete our hiring processes at lightning speed, keeping the time between when we receive your CV until you (hopefully) sign with us super short, communicative and transparent.

Why You’ll Love Being a Workizer

• You’ll actually love the product you work with and the people too:)
• Excellent benefits
• Team players. Rockstars without the ego. Fast learners that work hard and get S*** done.
• There is no such thing as a bad idea
• 40% female %60 male 
• ​​You can grow your career in any direction you choose
• Diversity isn’t just a buzzword
• We know how to have fun! Join our surf club, ping pong tournaments and other spontaneous activities. Oh, and we throw some killer parties
• We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties