Data Engineer - Mexico

Slalom Build

Mexico

On-site

PHP 5,511,329 - 7,960,808

Full time

14 days+

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Job summary

Slalom is seeking a Data Engineer to design, build, and optimize data platform solutions across AWS, Azure, and Google Cloud technologies. You will work in collaborative teams to deliver scalable data products and platforms that enable AI-assisted decision-making.

You will design components under guidance, translate complex requirements into tasks, and ensure timely delivery while collaborating with data engineers and architects. Join a globally connected team driving data-driven transformation.

Qualifications

4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.
Experience with modern data technologies spanning cloud data warehouses and streaming platforms.
Familiarity with the listed technologies (Redshift, Snowflake, BigQuery, Synapse, EMR, Spark, Presto, Databricks, Kinesis, Kafka, Python, Java) is expected.

Responsibilities

Designing and implementing components of clients’ data platform solutions under guidance of a Solution Architect.
Participating in design sessions and translating complex requirements into actionable development tasks.
Ensuring timely, high-quality delivery of development items for yourself and for the data engineers you support.
Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more.
Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering.

Skills

Cloud Platforms

Big Data & Streaming

Tools

Python

Java

Job description

At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology and compelled by its potential — building digital products, experiences, and technology-driven organizations that drive true change.

Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. We embrace AI to scale with quality, innovate without fear, and use technology with purpose to unlock the full potential of data and create lasting impact.

We demonstrate every day that talent, creativity, and technical excellence have no borders by delivering world-class solutions that inspire people to dream big and move faster.

What You’ll Do

As a Data Engineer at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies. You’ll stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.

Your day-to-day will include:

Designing and implementing components of clients’ data platform solutions, typically working under the direction of a Solution Architect
Participating in design sessions and translating complex requirements into actionable development tasks
Ensuring timely, high-quality delivery of development items — both for yourself and for the data engineers you support
Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more
Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering

What You’ll Bring

You bring a curious mindset, a thirst for knowledge, and a hunger for fearless experimentation. You’re a self-starter who breaks large problems into smaller ones, communicates proactively, and loves sharing what you learn with teammates and the broader Builder community.

You have 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments, and deep familiarity with modern data technologies. Experience in most, but not all, of the following is expected:

Cloud Platforms & Warehouses — Amazon Redshift, Snowflake, Google BigQuery, Azure Synapse Analytics, Amazon EMR
Big Data & Streaming — Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka
Programming Languages — Python, Java (object-oriented)

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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Posting Business Function: Data & analytics