Senior Data Engineer

Ikhoi Recruitment

London, UK

13 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

£80,000.0 - £94,000.0

Working hours

Regular working hours

Job source

www.reed.co.uk

Tech stack

Clean Code Principles Amazon Web Services Amazon S3 Cloud Computing Cloud Computing Security Cloud Engineering Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Python (Programming Language)

+9 more

Cloud Services Software Engineering SQL Databases Data Streaming Test-Driven Development (TDD) Delivery Pipeline Snowflake AWS Glue Data Pipelines

Job description

We are transforming how our organisation uses data. As a Senior Data Engineer, you won’t just be maintaining pipelines-you will be the bridge between complex data ecosystems and real-world customer outcomes. You’ll drive cloud transformation, automate manual processes, and build streaming data pipelines using a modern cloud stack (Snowflake, AWS, Python, SQL).

If you’re passionate about modern data architecture, clean code, and removing operational friction, this is your opportunity to make a massive, measurable impact. What You’ll Be Doing:

Architect & Build: Design high-quality, scalable ETL/ELT pipelines using Snowflake and AWS (S3, Glue, metadata services).
Innovate Streaming: Develop streaming data ingestion and transformation solutions aligned with our digital-first streaming strategy.
Automate Everything: Eliminate manual pipeline stages through advanced orchestration and test-driven development.
Optimize & Protect: Ensure rock-solid security, data governance, and platform cost efficiency without sacrificing pipeline speed.
Upskill & Collaborate: Champion modern engineering practices, collaborate with cross-functional business stakeholders, and mentor junior team members.

Requirements

Modern Data Stack: Strong hands-on experience designing ETL/ELT solutions with Snowflake or similar modern cloud data warehouses.
AWS Cloud Expertise: Good working knowledge of AWS services, specifically S3, AWS Glue, and cloud security best practices.
Core Languages: Fluency in SQL and Python, with a strong foundation in software engineering principles.
Pipeline Automation: Proven experience building automated, heavily tested, and well-monitored data pipelines.
Communication: Ability to translate complex technical architectures into clear solutions for business stakeholders., * AWS & Azure Cloud Architecture
Data Engineering & Cloud Platforms
ETL & Data Warehousing
Python
Snowflake & SQL Data Engineering
SQL

Benefits & conditions

Competitive salary + generous performance bonus
Flexible hybrid working model (great work-life balance)
Industry-leading pension scheme and comprehensive health benefits
Dedicated budget for continuous training, AWS/Snowflake certifications, and learning
Clear pathways for technical career progression