At a Glance
- Tasks: Design and implement scalable data solutions on AWS, optimising data architectures.
- Company: Join Slalom, a purpose-led global consulting company with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Make a real impact by solving client challenges with cutting-edge technology.
- Qualifications: 6-8 years in AWS data engineering and strong programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
AWS Data Engineer – Senior Consultant London or Manchester | Hybrid
About us - Slalom
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.
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.
AWS Data Engineer
As a Senior Consultant AWS Data Engineer at Slalom, you are a skilled engineer responsible for delivering high-quality data solutions that generate measurable business value. You demonstrate deep technical expertise in 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.
What will you do?
- Design, build, and implement scalable data engineering solutions on AWS, including data pipelines, ETL / ELT processes, and data integration frameworks.
- Develop and optimize 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 optimization, 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, Databricks is a bonus.
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.
AWS Data Engineer | Senior Consultant in Manchester employer: Slalom
Slalom is an exceptional employer that prioritises a people-first culture, offering employees the flexibility to balance work and personal commitments while engaging in high-impact projects. With a strong focus on inclusion, diversity, and continuous professional development, Slalom empowers its team members to thrive and grow within a supportive environment, all while being part of a rapidly expanding organisation in vibrant locations like London and Manchester.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer | Senior Consultant in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research Slalom and understand our values and projects. We want to see your passion for data engineering and how you can contribute to our mission of delivering impactful solutions.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or any projects you’ve worked on, bring them along. We love seeing practical examples of your work and how you tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to join our adventure.
We think you need these skills to ace AWS Data Engineer | Senior Consultant in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with AWS services and data engineering projects. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and why you want to join Slalom. Let us know how you can contribute to our mission of delivering impactful solutions.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention specific AWS tools and programming languages you’ve worked with. We love seeing hands-on experience, so make it clear how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Slalom
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS data services like S3, Glue, and Redshift. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data engineering problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and technical expertise.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. This will demonstrate your ability to bridge the gap between technology and business needs.
✨Emphasise Team Collaboration
Be ready to discuss your experience working in teams and mentoring others. Slalom values collaboration, so share how you've contributed to team success and helped junior members grow in their roles.
