Slalom

Slalom_build forms part of the global consulting company, Slalom. Slalom_build is our tech powerhouse focused on Engineering, Delivery and Experience Design in its truest form. Whether that be designing and building a product or platform from scratch, or modernising an existing stack – the team focus on quality and scalability.

Slalom_build is a welcoming and inclusive space for people to build their fullest potential. We make cool stuff, with the latest technology, and modern skill-expanding techniques. We encourage inclusion and actively incite a wider divergence of thought, opinion, and background. Slalom Build is a loyal partner for our clients—and the greatest advocate for the future of our people.

Senior Engineer, Data Engineering 

Data Engineering capability is focusing on deep Engineering and building out the Platform to support data lifecycles and processes. This includes Data Engineering, ML Engineering, Data Modernisation, Platform/Infrastructure Build Out, Automation (DevOps & CI/CD), and relevant development and delivery practices.

We are comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.

What You’ll Do?

• Work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data related technologies.
• build the next generation of data platforms and work with some of the most forward-thinking organizations in data and analytics.
• Work under the direction of a Solution Architect to help design and implement components of our clients’ data platform solution.
• Participate in design sessions and able to break down complex development tasks, and complete development items on time. 

What will you bring?

• Curious mindset to your client’s engagement, thirst for knowledge and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges.
• Self-starter mindset and ability effectively break down large problems into smaller ones and regularly share your learnings within your projects and in the broader Slalom Build community.
• Hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
• Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
• Object Oriented Coding (Java, Python)
• NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
• Container Management Systems (Kubernetes, Amazon ECS)
• Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
• Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
• Visual Analytics (Tableau, PowerBI)
• Modern Data Workflows (Apache Airflow, dbt, Dagster).

About Us

Slalom Build is a highly scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1400 Builders strong, distributed across dynamic cities, our innovation hubs attract the type of people who contribute to thriving teams. By placing Builders in close proximity to clients—as well as their cultural and technology cohorts—we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs.

Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. 

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