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Data jobs in United States

AWS Data Engineer | Senior Consultant

Slalom

Manchester
Hybrid
GBP 65,000 - 85,000
Today
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Solutions Architect

Pepper Advantage

Uxbridge
Hybrid
GBP 70,000 - 90,000
Today
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Data Operations Analyst

England Rugby

Greater London
Hybrid
GBP 46,000
Today
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Snowflake Data Engineer | Senior Consultant

Slalom

Manchester
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

Senior Associate, Data Governance & Quality

0000050079 London branch of Royal Bank of Canada

Greater London
On-site
GBP 60,000 - 80,000
Today
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People Data and Analytics Manager

Ofcom

Manchester
On-site
GBP 45,000 - 60,000
Today
Be an early applicant

Data Engineer Manager

PricewaterhouseCoopers

Birmingham
On-site
GBP 60,000 - 80,000
Today
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Senior Data Engineer

SPG Resourcing

Leeds
Hybrid
GBP 55,000 - 65,000
Today
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Associate Data Scientist

Anglian Water Services

Huntingdon
Hybrid
GBP 35,000 - 42,000
Today
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Global Product Owner - PIM

Mondelēz International

Huntingdon
On-site
GBP 70,000 - 90,000
Today
Be an early applicant

Global Product Owner - PIM

Mondelēz International

Newtownards
On-site
GBP 70,000 - 90,000
Today
Be an early applicant

Data Consultant

Syniti

Leeds
On-site
GBP 45,000 - 70,000
Today
Be an early applicant

Data Platform Consultant

Node4

Leeds
Hybrid
GBP 60,000 - 80,000
Today
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People Data and Analytics Manager

Ofcom

City of Edinburgh
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

AWS Data Engineer - AVP Capital Markets

Caspian One

England
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

Senior Data Engineer Darwin

Direct Line Insurance Group

Greater London
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

Snowflake Data architect

Mphasis

Manchester
On-site
GBP 45,000 - 60,000
Today
Be an early applicant

AI Data Architect (London based)

DXC Technology

City of Westminster
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

Associate Data Scientist

Anglian Water Services

Peterborough
Hybrid
GBP 35,000 - 42,000
Today
Be an early applicant

Global Product Owner - PIM

Mondelēz International

Wirral
On-site
GBP 70,000 - 90,000
Today
Be an early applicant

People Data and Analytics Manager

Ofcom

Greater London
Hybrid
GBP 65,000 - 85,000
Today
Be an early applicant

BI Analyst

Reed Talent Solutions

Bedford
Hybrid
GBP 55,000
Today
Be an early applicant

Global Product Owner - PIM

Mondelēz International

Kettering
On-site
GBP 70,000 - 90,000
Yesterday
Be an early applicant

Strategic Data Lead

Gravitate HR

City of Edinburgh
Hybrid
GBP 45,000 - 60,000
Yesterday
Be an early applicant

Data Information Manager

The Newcastle upon Tyne Hospitals NHS Foundation Trust

Newcastle upon Tyne
On-site
GBP 30,000 - 45,000
Yesterday
Be an early applicant
AWS Data Engineer | Senior Consultant
Slalom
Manchester
Hybrid
GBP 65,000 - 85,000
Full time
Yesterday
Be an early applicant

Job summary

A global business and technology consulting firm is seeking a Senior AWS Data Engineer for their Manchester office. This role involves designing and implementing AWS data solutions, mentoring junior staff, and building client relationships. Ideal candidates will have 6-8 years of experience, strong AWS skills, and excellent communication abilities. The position is hybrid, offering flexibility and a dynamic work environment. Join a recognized leader committed to impactful and meaningful work in data solutions.

Benefits

Competitive salary
Flexible working hours
Professional development opportunities

Qualifications

  • 6-8 years of experience in data engineering focused on AWS.
  • Strong hands-on experience with AWS data services.
  • Proficiency in programming languages like Python and SQL.

Responsibilities

  • Design and implement scalable data solutions on AWS.
  • Develop and optimize data architectures using AWS services.
  • Mentor junior team members and contribute to team capability.

Skills

AWS data services expertise
Data processing using Python
Problem-solving skills
Excellent communication
Client-facing experience
Experience with streaming data architectures

Education

AWS certifications (e.g., AWS Certified Data Analytics)

Tools

AWS Glue
AWS Lambda
AWS Redshift
Snowflake
Databricks
CloudFormation
Job description
AWS DataEngineer– 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. 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?
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 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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