Senior Data Engineer

Elevation Recruitment Group
Leeds, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 60K

Job location

Leeds, United Kingdom

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apache HTTP Server
Databases
Continuous Integration
ETL
Data Migration
Data Systems
Data Vault Modeling
Data Warehousing
Github
Identity and Access Management
Python
Performance Tuning
Power BI
Amazon Web Services (AWS)
SQL Databases
Data Processing
Spark
Cloudformation
Pandas
Data Lake
Data Management
Amazon Web Services (AWS)
Docker

Job description

As a Senior Data Analyst, you will:

  • Work across the full data lifecycle-from ingestion and transformation through to modelling, analysis and insight delivery.
  • Design, build and optimise cloud-based data platforms and pipelines in AWS.
  • Lead and contribute to data migration projects and platform modernisation initiatives.
  • Develop scalable, high-performance data warehouse and lakehouse solutions.
  • Build, deploy and maintain CI/CD pipelines and Infrastructure-as-Code solutions.
  • Tune performance across a variety of database environments.
  • Manage change and release processes, ensuring high-quality, reliable delivery.
  • Translate complex data into clear, actionable insights for technical and non-technical stakeholders.

Requirements

We're looking for strong hands-on experience across modern data platforms, including:

  • Proven experience with AWS data technologies: S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation

  • Experience building and deploying cloud data platforms

  • Infrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines)

  • Strong coding experience in Python (Pandas), Apache Spark, and/or Apache Iceberg

  • Expertise in SQL and advanced data manipulation and analysis

  • Experience with data warehouse design and data modelling (Kimball, Lakehouse/Medallion, Data Vault preferred)

  • Building data lakes and end-to-end ELT/ETL pipelines

  • Performance tuning across varied database environments

  • Desirable: dbt, Docker, Microsoft BI stack, Aurora DB, Step Functions, Batch, IAM, SQS, SNS

  • Excellent data development, modelling, and analytical skills

  • Strong project and people management capability

  • Confident working to deadlines and managing multiple priorities in fast-changing environments

  • Commercially aware, with the ability to align data solutions to business outcomes

  • Clear, professional communicator-able to present complex data to a wide-ranging audience

  • Practical problem solver with strong attention to detail

  • Collaborative team player with a continuous learning mindset

To be considered, you must already have the right to work in the UK, as visa sponsorship is not available for this role.

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