AWS Data Engineer | Senior Consultant
Slalom
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
Slalom is a purpose‑led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In eight countries and 53 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 700 leading technology providers, our 10,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all. AWS Data Engineer – Senior Consultant
London or Manchester | Hybrid 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 and optimise data architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, and related technologies. Ensure solutions follow AWS best practices for security, performance, cost optimisation, and operational excellence. Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical implementations. 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 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. 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. What You'll Bring
6‑8 years of experience in data engineering focused on AWS data platforms and services. Strong hands‑on experience with AWS data services including S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, and related technologies. Proficiency in programming languages such as Python and SQL for data processing and transformation. Experience designing and implementing ETL/ELT pipelines, data integration patterns, and workflow orchestration. Understanding of data modelling concepts (dimensional modelling, data vault, normalized schemas) and when to apply them. Knowledge of data governance, data quality, and metadata management principles. Experience with Infrastructure as Code (CloudFormation, 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 demonstrated ability to work collaboratively with diverse teams. Client‑facing consulting experience with ability to build rapport and credibility with stakeholders. AWS certifications such as AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect – Associate, or AWS Certified Developer. Experience with streaming data architectures and real‑time analytics. Familiarity with data platforms such as Snowflake or Databricks is a bonus. We have a question for you – can you imagine a world in which you can truly love your life and your work?
Creating that world and making this vision a reality is what we get out of bed for; our north star.
We help our team members to achieve this through deep relationships, flexibility, and a people‑first culture.
Our compensation and benefits are competitive and designed to reward impact. If you require any assistance with reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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