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Ampstek

Data Modeler

London
Posted about 11 hours ago
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About Us

AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact.

With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.

Role: Data Modeler

Location: Northampton, UK (Hybrid 3 days/week)

Client: Infosys

Contract: Inside IR35

Key Responsibilities

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Data Engineering & Platform Development

  • Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
  • Build and manage enterprise data lake solutions using Amazon S3 and AWS Lake Formation.
  • Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
  • Design and implement serverless data processing solutions using AWS Lambda.
  • Orchestrate and automate data workflows using AWS Step Functions.

Data Warehousing & Analytics

  • Design, develop, and optimize data warehouse solutions using Amazon Redshift.
  • Enable data analytics and reporting through Amazon Athena.
  • Ensure data quality, integrity, and availability across the data platform.

Cloud Infrastructure & Security

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  • Configure and manage AWS services including IAM, VPCs, Subnets, SNS, and SQS.
  • Develop Infrastructure as Code (IaC) using AWS CloudFormation.

Core Skills & Competencies

  • AWS: S3, IAM, Lambda, Glue, Step Functions, Lake Formation, VPC & Subnets, Athena, Redshift, Service Catalog, CloudFormation, SNS, SQS
  • Programming: SQL, Python, ETL/ELT
  • Development: Unix/Linux, Shell Scripting, Git

Qualifications & Experience

  • Bachelor's or Master's degree in a related field.
  • 8+ years of experience of overall experience and 6+ years of experience as AWS Data Engineer

Preferred Experience (Nice to Have)

  • GitLab
  • Nexus Repository Manager
  • Redshift Performance Optimization
  • Snowflake
  • DBT (Data Build Tool)
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Skills

AWS
S3
IAM
Lambda
Glue
Step Functions
Lake Formation
VPC
Subnets
Athena
Redshift
SQL
Python
ETL
ELT
Unix/Linux

Location

London, England, United Kingdom

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