Data Engineer - Colombia

Slalom; Bogotá ciudad; Hybrid; COP 9,000,000 - 100,000,000; Full time

Benefits offered by this job

Hybrid work environment

Accessibility commitment

Job summary

Slalom is seeking a Data Engineer in Bogotá to collaborate with cross-functional teams and deliver scalable data solutions on AWS, Azure, and GCP. You will design, build, and optimize data platforms, and contribute to AI-driven data initiatives in a hybrid work setting.

Bring 4+ years of hands-on data engineering experience, familiarity with modern data technologies, and a proactive, collaborative mindset to accelerate digital transformation for clients.

Qualifications

• +4 years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.

Responsibilities

• Designing and implementing components of clients’ data platform solutions, typically 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 for yourself and 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

Python

Java

Tools

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Apache Spark

Presto

Databricks

Amazon Kinesis

Apache Kafka

Apache Airflow

dbt

Dagster

Azure Data Factory

DynamoDB

Cosmos DB

MongoDB

Kubernetes

Amazon ECS

Amazon SageMaker

Azure ML Studio

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.

• Data Engineer Who You’ll Work With

  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
  • Workflow & Orchestration — Apache Airflow, dbt, Dagster, Azure Data Factory
  • Databases, Containers & ML — DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio
  • Programming Languages — Python, Java (object-oriented)
• COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.
• 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.

  • COPNIA: Positions involving engineering activities in Colombia require a valid professional license issued by the Consejo Profesional Nacional de Ingeniería (COPNIA). Candidates selected for roles subject to this requirement must provide evidence of the professional license and maintain compliance throughout employment.
  • Working arrangements: At Slalom, we believe our best work happens through a combination of flexibility, autonomy, and meaningful in-person collaboration. We operate in a hybrid work environment designed to support both individual productivity and team connection. All team members are expected to work from the office at least one day per week. Team members with direct reports and team members who are not currently staffed on a client engagement are expected to work from the office at least two days per week. Attendance expectations may be adjusted from time to time based on business needs and client requirements
  • Accessibility Commitment:
    We are committed to fostering belonging and actively welcome applications from professionals with disabilities.
  • Reasonable Accommodations:
    If you require any adjustments or assistive support to participate in our recruitment or assessment process, please let us know at the time of application. We are committed to providing an equitable and accessible experience.
  • Disability Certification:
    As part of our compliance with applicable Colombian labor regulations, if applicable, candidates may be asked to provide a valid disability certificate issued by an authorized health entity (e.g., EPS, IPS, or other competent authority). Disclosure is voluntary and will be handled with appropriate confidentiality.