# Senior Data Engineer at Tillster > Hybrid · Mexico · Senior · Data engineering · open. Source: https://alderhq.app/jobs/ashby%3Atillster%3Ad67c5e3b-7899-4ff5-a50f-9e51d36e2b22 (read 2026-11-14). ## Facts (observed) - Company: [Tillster](https://alderhq.app/companies/tillster) - Location text: Mexico City - Where it can be done from (inferred): Hybrid · Mexico (evidence: "Location: Mexico City") - Posted: 2026-10-21 (24 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-13 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/Tillster/d67c5e3b-7899-4ff5-a50f-9e51d36e2b22 - Skills listed (inferred): Python, AWS, Airflow, Snowflake, dbt, SQL ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) SENIOR DATA ENGINEER- MUST BE IN MEXICO CITY ### 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. ### Architecture, dbt & Data Modeling ● Develop, test, and maintain dbt models to transform raw data into clean, analytics-ready datasets. ● Contribute to unifying GA4, CRM, and other data sources into a single consolidated warehouse structure. ● Build modular, reusable data models that support marketing funnels, segmentation, and campaign analytics. ● Implement basic automated data quality checks and validation rules within owned pipelines, and document data models and business logic for transparency. ### Requirements ● 4+ years of experience developing in Python. ● 4+ years of experience in SQL (Redshift, Snowflake, BigQuery). ● 2+ years working on AWS or equivalent cloud platform. ● 2+ years working with Airflow or comparable orchestration tools. ● Working knowledge of dbt for data transformation and modeling. ● Hands-on experience supporting the data needs of BI tools such as Looker or Tableau. ● Experience with real-time ingestion tools such as Snowpipe, Stitch, Fivetran, or Kinesis. ● Experience working in an Agile development environment. ### Nice to Have ● Experience with Segment, Braze, Acoustic, or MoEngage data integrations. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Atillster%3Ad67c5e3b-7899-4ff5-a50f-9e51d36e2b22 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.