Senior Consultant AWS Data & AI Engineer

Slalom is a global, human-centric business and technology consulting firm. We specialise in partnering with organisations that aspire to excellence, helping them tackle complex challenges and achieve transformative results through strategy, technology, and business transformation services. By prioritising people, Slalom creates a unique consulting experience, with a team of strategists and engineers delivering practical, end-to-end solutions that drive impactful outcomes for our clients.

We empower people and organisations to dream bigger, move faster, and build better tomorrows for all.

At Slalom, we believe that through our trusted relationships with our clients, we can create modern data solutions that drive results and improve the world. Interested in Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the Engineering and AI space? We can offer you this. Slalom is agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnershipsincludingAWS, Azure, Snowflake and Databricks to name but a few.

We are interested in individuals who are passionate and curious about what is next.

As a Senior Consultant AWS Data & AI Engineer at Slalom, you area skilled engineer responsible for delivering high-quality data solutions that generate measurable business value. Youdemonstratedeep technicalexpertisein AWS data services, combined with a keen understanding of client needs and the ability to collaborate productively within teams. Additionally, you play a key role in advancing our Data & Technology Capability. This position requiresproficiencyin designing and constructing robust data platforms, alongside the capacity to foster strong client partnerships.

• Design, build, and implement scalable data engineering solutions on AWS, including data pipelines, ETL/ELT processes, and data integration frameworks.
• Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon Open Search Service, and graph databases such as Amazon Neptune, and related technologies.
• Ensure solutions follow AWS best practices for security, performance, cost optimization, and operational excellence.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical implementations.
• Use AI-assisted development tools appropriately to support engineering productivity, code quality, testing, and delivery.
• Mentor junior team members and contribute to building technical capability within project teams.

• Act as a trusted advisor to client stakeholders, understanding their business challenges and recommending appropriate data solutions.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Contribute to client workshops, requirements gathering sessions, and solution design activities.

• Stay current with AWS data engineering trends, services, and best practices.
• Contribute to the development of Slalom's data engineering accelerators, frameworks, and methodologies.
• Share knowledge through internal presentations, documentation, and mentoring.
• Participate in Slalom's learning culture and pursue continuous professional development.

• Considerable experience in data engineering focused on AWS data platforms and services.
• Strong hands-on experience withAWS data services including S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon Open Search Service, and graph databases such as Amazon Neptune, and related technologies.
• Proficiency in programming languages such asPythonandSQL fordata processing and transformation.
• Experience designing and implementingETL/ELT pipelines, data integration patterns, and workflow orchestration.
• Understanding ofdata modelling concepts(dimensional modelling, data vault, normalized schemas) and when to apply them.
• Knowledge ofdata governance, data quality, and metadata management principles.
• Experience with Infrastructure as Code(Cloud Formation, Terraform, CDK) and CI/CD practices.
• Strong problem-solving skills and ability to work effectively in fast-paced consulting environments.
• Excellent communication and interpersonal skills, with demonstratedability to work collaboratively with diverse teams.
• Client-facing consulting experience with ability to build rapport and…