Data Engineer

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Fieldwire by Hilti

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

Construction • SaaS • Enterprise

Fieldwire by Hilti is a comprehensive jobsite management software solution designed for construction teams. It facilitates collaboration among project teams, including foremen and project managers, by providing tools for field management, task assignments, scheduling, and real-time updates. The platform allows for efficient coordination on construction projects by ensuring all team members work from up-to-date drawings and documents, reducing risk with indisputable records of work performed. Fieldwire also integrates easily with other apps and is accessible on multiple devices, catering to general and specialty contractors, owners, architects, and designers. It supports project management needs such as reporting, document management, and scheduling through a user-friendly interface that scales from small to mega projects. As part of Hilti Construction Software, Fieldwire is trusted by some of the largest construction companies worldwide for managing over 2,000,000 jobsites.

📋 Description

• Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses • Own the end-to-end data architecture, including storage strategy, processing systems, and pipeline orchestration • Implement and maintain ETL/ELT workflows that extract, transform, and load data into clean, analytics-ready formats • Partner with Data Insights Managers and business stakeholders to translate reporting requirements into robust technical data solutions • Build automated validation and quality-check layers into every pipeline to prevent bad data from reaching reporting layers • Monitor pipeline health in real time; triage and resolve failures quickly to meet data availability SLAs • Enforce data standards, naming conventions, schema consistency, and access controls across all systems • Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse into the data lake • Maintain auditability of all data flows and support compliance and governance requirements • Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural decisions.

🎯 Requirements

• 2-3+ years of experience in a Data Engineering or equivalent role • Strong proficiency in SQL and at least one scripting language (Python preferred) • Hands-on experience building and maintaining ETL/ELT pipelines at scale • Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) • Familiarity with pipeline orchestration tools (e.g. Airflow, dbt, Fivetran, Airbyte) • Strong understanding of data warehousing concepts, dimensional modelling, and data lake architecture • Experience integrating SaaS platforms (CRM, ERP, finance systems) via APIs and connectors • Excellent problem-solving skills with a rigorous approach to data quality and reliability • Ability to work independently in a fully remote, fast-moving environment • Strong written communication skills — able to document technical decisions clearly for non-technical stakeholders.

🏖️ Benefits

• Corporate bonus which can range up to 30%.