Vacancy No

VN446

Status

Active

Location

Mexico

Location Country

Mexico

Location Region

Jalisco

Location City

Guadalajara

Description

Auction Technology Group (ATG) is transforming the multi-billion-dollar integral auction industry. Our platforms connect thousands of auction houses with buyers in over 170 countries, powering more than $15 billion in annual sales. Through innovative online auction technologies, we help auctioneers expand their reach, boost efficiency, and maximize value—while giving bidders unrivaled access to rare and specialized items.

As a publicly traded company, ATG has scaled from $18 million to $170 million in revenue, with sustained growth beyond the pandemic. We're modernizing one of the last industries to fully go digital—building a global, category-defining business in the process.

Key Responsibilities

What are we hiring for?

We are making a significant investment in creating a user experience that meets the expectations of our customers. As we scale our data platform to support analytics, reporting, and operational decision-making across the business, we need robust data infrastructure to enable rapid experimentation, reliable insights, and data-driven decision-making.

The Senior Data

Engineer will work with Product Managers, Analytics teams, and Software Engineers to build and maintain the data pipelines, warehouse, and infrastructure that power our business intelligence and reporting, handling millions of events and requests daily.

Who are we looking for?

You have a passion for building scalable, reliable data systems that enable analysts, engineers, and business stakeholders to do their best work. You understand that great data products require more than just moving data; they need robust pipelines, thoughtful data modeling, and strong data quality assurance. You put reliability and scalability at the heart of everything you do, and you are adept at enabling data-driven decisions through proper warehouse design and pipeline architecture.

You will be comfortable working cross-functionally with Product, Engineering, Analytics,



and BI teams to develop our products and improve the end-user experience. You should have a strong track record of successful prioritization, meeting critical deadlines, and enthusiastically tackling challenges with an eye toward problem solving.

Key Requirements

What your contributions will be:

Data Pipeline Development & Management

Design, build, and maintain robust ETL/ELT pipelines that support analytics and business intelligence

Develop scalable batch and streaming data pipelines to process millions of auction events, user interactions, and transactions daily

Implement workflow orchestration using Airflow, Dagster, or similar tools to manage complex data dependencies

Build data validation and quality monitoring frameworks to ensure data accuracy and reliability

Data Modeling & Warehousing

Design and maintain dimensional models and data marts that support scalable, self-serve analytics

Own schema design and evolution for the data warehouse

Partner with analytics and BI teams on semantic layer design and reporting needs

Drive adoption of transformation best practices (e.g., dbt) across the data organization

Data Quality & Monitoring

Implement comprehensive data quality checks, anomaly detection, and alerting systems

Monitor pipeline health, data freshness, and SLA compliance

Create dashboards and reporting tools for data pipeline observability

Debug and resolve data quality issues and pipeline failures

Collaboration & Best Practices

Work closely with Analytics and BI teams to understand data requirements and deliver reliable datasets

Partner with Software Engineers to integrate data pipelines with application systems

Support occasional feature-engineering or dataset requests from data science partners as they arise

Establish and document data engineering best practices,



coding standards, and design patterns

Mentor junior engineers on data engineering principles and best practices

What you need for Success:

Required Qualifications

BSc or MSc in Computer Science, Data Engineering, Software Engineering, or a related field, or equivalent practical experience

5+ years of experience building and maintaining data pipelines and infrastructure in production environments

Strong programming skills in Python, with experience in data processing libraries (Pandas, PySpark)

Expert-level SQL skills with experience in query optimization and performance tuning

Proven experience with workflow orchestration tools (Airflow, Dagster, Prefect, or similar)

Hands-on experience with cloud platforms (AWS preferred) including S3, Redshift, EMR, Glue, Lambda

Experience with data warehousing solutions (Redshift, Snowflake, BigQuery, or similar)

Experience with dimensional modeling and transformation workflows (dbt or similar)

Experience with version control systems (Git) and CI/CD practices for data pipelines

Technical Skills

Experience with distributed computing frameworks (Apache Spark, Dask, or similar)

Knowledge of both batch and streaming data processing (Kafka, Kinesis, or similar)

Familiarity with data formats (Parquet, ORC, Avro, JSON) and their trade-offs

Understanding of data quality frameworks and testing strategies

Experience with BI/reporting tools (Looker, Tableau, Power BI, or similar)

Experience with monitoring and observability tools (Prometheus, Grafana, CloudWatch)

Knowledge of infrastructure-as-code tools (Terraform, CloudFormation)

Understanding of containerization (Docker) and orchestration (Kubernetes) is a plus

Nice-to-Have

Knowledge of Elasticsearch or similar search technologies

Experience in eCommerce, marketplace, or auction platforms

Understanding of GDPR, data privacy, and compliance requirements

Experience with real-time analytics and event-driven architectures (Flink, Materialize)

Employment Type

Permanent

Duration

Business Name

LiveAuctioneers

Function Name

Technology

📌 Senior Data Engineer - Data Enablement (Guadalajara)
🏢 Auction Technology Group
📍 Guadalajara