Senior Consultant AWS Data & AI Engineer

Slalom; Manchester; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Slalom is seeking a Senior Consultant AWS Data & AI Engineer to design and deliver high-value data platforms on AWS. You will work with senior stakeholders to translate business needs into robust data-driven solutions, and you will mentor junior colleagues across projects.

Join Slalom to help clients leverage modern data tooling, drive measurable outcomes, and advance our data capability while enjoying a flexible, collaborative work culture and ongoing professional development.

Qualifications

• Extensive experience in AWS data engineering and delivering data platforms.
• Proficiency in Python and SQL for data processing and transformation.
• Experience designing and implementing ETL/ELT pipelines and data integration patterns.

Responsibilities

• Design, build, and implement scalable data engineering solutions on AWS.
• Develop and optimize data architectures using AWS services (S3, Glue, Lambda, Redshift, Kinesis, EMR).
• Ensure security, performance, cost optimization, and operational excellence.
• Collaborate with data architects, analysts, and stakeholders to translate requirements into implementations.
• Mentor teammates and contribute to building technical capability.

Skills

AWS data services

Python

SQL

ETL/ELT pipelines

Data modelling

CI/CD

IaC (CloudFormation, Terraform, CDK)

Data governance

AI/ML engineering

Snowflake

Databricks

OpenSearch/Neptune

Tools

AWS

S3

Glue

Lambda

Redshift

Athena

EMR

Kinesis

OpenSearch Service

Neptune

Snowflake

Databricks

Job description

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.

Slalom's Data Capability

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 areaskilled engineerresponsible 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.

What will you do?

Client Delivery & Technical Excellence

• 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 OpenSearch 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.

Client Advisory & Relationship Building

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

Practice Development & Knowledge Sharing

• 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.

Whatyou'llbring

• Considerable experiencein data engineeringfocused on AWS data platforms and services.
• Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies.
• Proficiencyin 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 managementprinciples.
• Experience withInfrastructure as Code(CloudFormation, Terraform, CDK) and CI/CD practices.
• Strong problem-solving skills and ability to work effectively in fast-paced consultingenvironments.
• Excellent communication and interpersonal skills, withdemonstratedability to work collaboratively with diverse teams.
• Client-facing consulting experiencewith ability to build rapport and credibility with stakeholders.
• AWS certificationssuch as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect - Associate, or AWS Certified Developer - Associate
• Experience withstreaming data architecturesand real-time analytics
• Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus
• Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions.
• Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior.
• Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases.
• Relevant AWS AI certifications, such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer - Associate, or AWS Certified Generative AI Developer - Professional.

We have a question for you - and it’s something we’re passionate about. Can you imagine a world in which you can truly love your life and your work? Well, we have some good news – creating that world and making this vision a reality is what we get out of bed for; it’s our north star.

But what do we really mean when we talk about loving your life and your work? Let’s look at the ways in which we help our team members to achieve this – and the ‘how’.

Deep connections, better outcome

We have deep relationships with leading technology partners and they love us for our innovative and outcome based approach. Our people are passionate about solving our clients problems using the tech that’s the best solution for them. What’s more, we’re there to work side-by-side with our client teams to enable them for success long after we’ve gone. We’re all about momentum that outlasts us.

Flexibility

Life is busy, and we understand that. Our team often juggles work, family, personal commitments, and crucial client obligations. We prioritise supporting our people in balancing what matters to them while ensuring we meet our client commitments.

Flexibility is key, as we sometimes need to adapt to meet client needs. This way, our team can work on high-impact projects they’ll love, knowing they have the flexibility to manage their personal and professional lives effectively.

People-first

Great solutions start with great people. At our employee-led company, your voice matters, and we love to hear your feedback. By leading with kindness, empathy, and striving for equity, we create better experiences for everyone. Our culture encourages passion, adventure, adaptability, and diverse thinking. Inclusion, diversity, and equity are our top priorities, empowering our team to be their best selves. Together, we can create a great future by working collaboratively and supporting each other.

Rewards

There’s no shying away from it - the compensation and benefits on offer have to be competitive too, right? We know that. That’s why we have a dedicated team working with our leaders to ensure our packages are fair, competitive, and rewarding!

Who are we... We are Slalom!

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 partner with clients to co-create powerful customer experiences, modern ways of working and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritise purpose, flexibility, connection and recognition so our people can thrive and love what they do, most days.

We’re honoured to be consistently recognised as a great place to work, including being one of Fortune’s 100 Best Companies to Work for nine years running. Read more at slalom.com.

Slalom prides itself on helping our team members thrive in their work and life. As a result, Slalom is proud to invest in our team members with competitive and innovative benefit programs and services that meet the unique needs of our diverse workforce.

If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.