Overview
Data Engineer - Consultant
London or Manchester | Hybrid
About us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 45 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 11,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all. We are recognised as a great place to work by Glassdoor and as one of Fortune’s 100 Best Companies to Work For seven years running. Since opening our London office in 2014 and our Manchester office in 2019, we continue to grow in the UK and Ireland, with our first office in Dublin launched this year. Our employees are at the heart of delivering impactful work for our clients and helping them achieve their vision.
Slalom\'s Data Capability
We believe in creating modern data solutions that drive results. We work with a range of cloud partnerships including AWS, Azure, Snowflake and Databricks. We are interested in individuals who are passionate and curious about what is next.
The Role
As a Data Engineer, your primary responsibility is to design, build, and maintain the infrastructure that enables efficient handling of large volumes of data. This involves creating data pipelines, leveraging cloud platforms like AWS or Azure, using tools like Terraform for automation, and programming in Python and SQL for data processing. You collaborate with cross-functional teams to ensure data integrity and enable data-driven decision-making.
You and what you bring
- Deep understanding of platform engineering principles, including designing and building robust, scalable, and fault-tolerant data platforms to support diverse data processing and analytics requirements.
- Ability to collaborate with cross-functional teams to architect, implement, and optimize data pipelines and workflows, ensuring efficient data ingestion, processing, and delivery within the data ecosystem.
- Experience with AWS or Azure cloud services for data storage, processing, and analytics, ensuring scalability, reliability, and security of data infrastructure.
- Proficiency in one or more data platforms such as Snowflake, Fabric, and Databricks, with a strong ability to design, develop, and implement data solutions that meet client needs.
- Strong programming skills in Python and SQL for data manipulation, transformation, and automation tasks.
- Experience with Terraform for infrastructure as code (IaC), enabling provisioning and management of cloud resources, and ensuring consistency across environments.
- Expertise in configuration-as-code and CI/CD practices using tools like GitHub Actions, Jenkins, or Azure DevOps, including version control, automated testing, deployment workflows, and pipeline monitoring.
- Strong written and verbal communication skills to work collaboratively with a high-performing team.
- Power BI or Tableau experience is highly desirable.
- Desirable consulting experience, demonstrating the ability to deliver high-impact solutions, engage with clients effectively, and contribute to the growth and development of consulting capabilities within the organisation.
What we offer and next steps
If something sparks your interest, apply. For more information or assistance with reasonable adjustments during the recruitment process, please contact us.
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