AWS Data Engineer | Senior Consultant in London
AWS Data Engineer | Senior Consultant

AWS Data Engineer | Senior Consultant in London

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement innovative data solutions on AWS, driving real business value.
  • Company: Join Slalom, a purpose-led consulting firm recognised as a top workplace.
  • Benefits: Enjoy competitive pay, flexible work options, and a focus on personal growth.
  • Why this job: Be part of a dynamic team pushing the boundaries of technology and data engineering.
  • Qualifications: 6-8 years in AWS data engineering with strong programming skills.
  • Other info: Embrace a people-first culture that values diversity and inclusion.

The predicted salary is between 48000 - 84000 £ per year.

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. 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.

We’re honoured to be consistently recognised as a great place to work, named one of the Fortune 100 Best Companies to Work For® from 2016 to 2024, and featured on Glassdoor’s Best Places to Work list from 2016 to 2023. We’ve also been recognised across the UK and Europe for wellbeing, inclusion, and consulting excellence.

Since opening our doors in London in 2014, and then the launch of our Manchester office in 2019, it’s been an unforgettable journey. What’s more, we’re at an exciting stage of our growth in the UK and now Ireland, with our Dublin office now well established and growing rapidly. We’re looking for great people who want to be part of that adventure. Our employees are at the heart of delivering impactful and meaningful work for our clients and helping them to reach for and realise their vision.

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 partnerships including: AWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next.

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. This position requires proficiency in designing and constructing robust data platforms, alongside the capacity to foster strong client partnerships.

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.

We have a question for you - and it’s something we’re really 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 take a 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 over 400 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 appreciate that. We’re often juggling work, family, and personal commitments. We do everything we can to support our people in prioritising what matters to them while also working on high-impact projects that they’ll love.

People-first

Great solutions start with great people. And those great people are at their best when they’re empowered to be their true authentic selves. Through leading with kindness and empathy, and striving for equity, we’re able to create better experiences for our people and our clients. Our culture is central to everything we do - encouraging passion and adventure, adaptiveness, and diversity of thought. Inclusion, diversity and equity is at the top of our agenda, we have created a community where we empower our team to be the best version of themselves.

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!

Take a look at the role above and if something sparks your interest, apply!

Want to learn more? Get in touch!

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 London employer: Slalom

At Slalom, we pride ourselves on being a purpose-led employer that fosters a people-first culture, offering flexibility and deep connections with clients. Our commitment to employee growth is evident through continuous professional development opportunities and a supportive environment that values diversity and inclusion. With competitive compensation and a focus on meaningful work, we empower our team members to thrive both personally and professionally in our vibrant London and Manchester offices.
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Contact Detail:

Slalom Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS Data Engineer | Senior Consultant in London

✨Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for those interviews! Research Slalom and its projects, especially in AWS data engineering. Show us that you’re not just another candidate but someone who genuinely wants to be part of our mission.

✨Tip Number 3

Practice your pitch! Be ready to explain how your skills align with what we do at Slalom. Highlight your experience with AWS services and how you can contribute to our team’s success.

✨Tip Number 4

Don’t forget to follow up! After an interview, drop us a thank-you email. It shows your enthusiasm and keeps you fresh in our minds as we make decisions.

We think you need these skills to ace AWS Data Engineer | Senior Consultant in London

AWS Data Services
Data Engineering
ETL/ELT Processes
Data Integration Frameworks
AWS S3
AWS Glue
AWS Lambda
AWS Redshift
AWS Kinesis
AWS EMR
Python
SQL
Data Modelling Concepts
Infrastructure as Code
CI/CD Practices
Problem-Solving Skills
Communication Skills
Client-Facing Consulting Experience

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AWS Data Engineer role. Highlight your experience with AWS services and data engineering projects that align with what we do at Slalom.

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work to show how you’ve designed and implemented data solutions. We love seeing real-world applications of your expertise.

Be Authentic: Let your personality shine through in your application. We’re all about being genuine and connecting with our team members, so don’t hesitate to share what makes you passionate about data engineering and consulting.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Slalom!

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.

✨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 tech and business needs.

✨Emphasise Team Collaboration

Be ready to discuss your experience working in teams, especially in a consulting environment. Highlight how you've collaborated with others to deliver successful projects and how you can contribute to building strong client relationships.

AWS Data Engineer | Senior Consultant in London
Slalom
Location: London

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