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Data Engineer AWS

JR United Kingdom

City Of London

On-site

GBP 70,000 - 80,000

Full time

8 days ago

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Job summary

A leading FinTech company in London is seeking a skilled Data Engineer to design and maintain scalable data solutions. The role involves creating robust ELT pipelines and ensuring compliance with data governance best practices. Candidates should have experience with AWS tools and strong collaboration skills in an Agile environment.

Qualifications

  • 3+ years’ experience in data engineering and warehousing.
  • Proficiency with SQL, Python, and AWS tools.
  • Excellent communication and collaboration skills in Agile teams.

Responsibilities

  • Build and maintain robust ELT pipelines and cloud-based data warehouses.
  • Model curated data layers to support analytics and decision-making.
  • Develop and manage reusable, high-quality data products.

Skills

SQL
Python
Data Governance
ELT Pipeline Development

Tools

AWS Redshift
dbt
Airflow
Power BI
Tableau
QuickSight

Job description

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Data Engineer AWS, london (city of london)

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Client:

InterQuest Group

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

28.06.2025

Expiry Date:

12.08.2025

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Job Description:

London | Full-Time

Salary - £70-80K per annum

Our client, a scaling FinTech are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that empower analytics, reporting, and self-service across the business.

Key Responsibilities

  • Build and maintain robust ELT pipelines and cloud-based data warehouses (e.g., AWS Redshift)
  • Model curated data layers to support analytics and decision-making
  • Develop and manage reusable, high-quality data products
  • Promote self-service with intuitive data models and BI tool integration
  • Ensure compliance, data governance, and security best practices
  • 3+ years’ experience in data engineering and warehousing
  • Proficiency with SQL, Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.)
  • Strong grasp of data modeling, governance, and pipeline orchestration
  • Excellent communication and collaboration skills in Agile teams
  • Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight)
  • Knowledge of data product principles, real-time pipelines, and data enablement programs

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