Senior Data & AI Engineer, Cloud Data Platforms

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 organisations 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.

The purpose of our Data practice at Slalom is to build a better future with Data. Through trusted partnerships with our clients, we co-create modern data solutions that drive results and improve the world. We are continuing to grow our practice whilst keeping Diversity, Equity, and Inclusiveness at the forefront, and hiring individuals who share a similar passion for data, technology, and culture. Joining our team will allow you to partner with our clients to learn from their data, create incredible digital experiences, and make the most of ML and analytics. We blend design, engineering, and expertise to help them build the future.

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 be able to break down complex development tasks, and complete development items on time.

What will you bring?

•4+ years of hands-on experience in data engineering

•Proficiency in SQL and Python as core programming languages

•Strong experience with cloud-based data platforms (AWS preferred; Azure and GCP also valued)

•Experience with cloud data warehousing and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, or Azure Synapse Analytics

•Experience with data integration and ingestion tools such as AWS Glue, Azure Data Factory, Fivetran, or similar ELT/ETL tooling

•Experience with big data processing platforms such as Amazon EMR, Apache Spark, or Databricks

•Solid understanding of data modeling, ETL/ELT best practices, and data warehousing concepts including familiarity with open table formats such as Apache Iceberg or Delta Lake