Senior Data Engineer

About the role

SENIOR DATA ENGINEER

(No Visa Transfers or Sponsorships Available)

About Tillster Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform: one scalable, enterprise class solution – to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e-commerce in restaurants and making the till grow for Tillster and our customers.

Are you a passionate data engineering with a knack for data?

SENIOR DATA ENGINEER

The Data Science and Analytics team at Tillster is looking for a highly motivated Senior Data Engineer with strong problem-solving skills and hands-on experience building and maintaining real-time data pipelines. This role is primarily a data engineering position, with a meaningful secondary component supporting analytics and contributing to our dbt-based data modeling layer. You will pull data from multiple platforms, tools, and sources, elevating Tillster's data accessibility, analytical efficiency, and the quality of our data products.

Data Engineering

● Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.

● Build and maintain real-time, batch, and streaming data pipelines that support analytics products and enable data-driven decisions across marketing, product, engineering, sales/account management, finance, and operations.

● Design data structures that deliver the right data, in the right format, to support real-time and near-real-time decision-making.

● Support the data needs of the MarTech stack, including Braze, Acoustic, MoEngage, and Segment.

● Modify and maintain SQL and Python ELT processes loading data into Redshift and other warehouses.

● Troubleshoot and maintain Airflow/Jenkins orchestration jobs; work with DevOps and cloud management on underlying infrastructure.

● Fulfill ad-hoc data extract requests and other data engineering duties as required.

Data Analysis

● Provide ad-hoc SQL and analysis support to business stakeholders when requests fall outside the Data Analyst team's current capacity.

● Maintain and update existing Looker Explores and dashboards to ensure consistent, accurate data as underlying warehouse structures change.

● Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables serve their needs efficiently.