Senior Data Engineer - #1798406
TieTalent
Date: 15 hours ago
City: Leeds
Contract type: Full time
Work schedule: Full day
About
Senior Data Engineer
Hybrid (2 days on-site | Office ~10 mins from train station)
£55,000-£60,000 + ~8% Bonus | Full-time | Permanent
A newly established data function within a growing organisation is looking for a Senior Data Engineer to help shape and scale modern data capabilities. This is a hands-on role with high visibility, ideal for someone who enjoys solving complex problems and can confidently represent the data function across a range of projects.
About The Role
You'll be responsible for maintaining and evolving data pipelines, contributing to architecture decisions, and working closely with both internal stakeholders and external vendors. The tech stack centres around AWS and Databricks, and you'll have the chance to drive impactful data initiatives from day one.
Key Responsibilities
Build, maintain, and scale reliable data pipelines Work across AWS services (Redshift, Glue, Lambdas) and Databricks Design and evolve data models, data lakes, and warehouse solutions Apply CI/CD practices using GitHub and modern DevOps workflows Engage with cross-functional teams and vendors to deliver high-quality data solutions
What We're Looking For
Strong hands-on experience with AWS, Databricks, and Python Proven ability to work with large-scale datasets and cloud architectures Deep understanding of data modelling, warehousing, and pipeline development Familiarity with CI/CD pipelines and Git-based version control A proactive, confident communicator who thrives on challenge
Certifications are a bonus, but practical, applied knowledge is the priority. The right person will be technically strong, delivery-focused, and comfortable representing the data team in business-critical settings.
This is a great opportunity to make a real impact in a fast-evolving environment that values ownership, learning, and collaboration.
Interested? Apply now to take the next step in your data engineering journey
Nice-to-have skills
Senior Data Engineer
Hybrid (2 days on-site | Office ~10 mins from train station)
£55,000-£60,000 + ~8% Bonus | Full-time | Permanent
A newly established data function within a growing organisation is looking for a Senior Data Engineer to help shape and scale modern data capabilities. This is a hands-on role with high visibility, ideal for someone who enjoys solving complex problems and can confidently represent the data function across a range of projects.
About The Role
You'll be responsible for maintaining and evolving data pipelines, contributing to architecture decisions, and working closely with both internal stakeholders and external vendors. The tech stack centres around AWS and Databricks, and you'll have the chance to drive impactful data initiatives from day one.
Key Responsibilities
Build, maintain, and scale reliable data pipelines Work across AWS services (Redshift, Glue, Lambdas) and Databricks Design and evolve data models, data lakes, and warehouse solutions Apply CI/CD practices using GitHub and modern DevOps workflows Engage with cross-functional teams and vendors to deliver high-quality data solutions
What We're Looking For
Strong hands-on experience with AWS, Databricks, and Python Proven ability to work with large-scale datasets and cloud architectures Deep understanding of data modelling, warehousing, and pipeline development Familiarity with CI/CD pipelines and Git-based version control A proactive, confident communicator who thrives on challenge
Certifications are a bonus, but practical, applied knowledge is the priority. The right person will be technically strong, delivery-focused, and comfortable representing the data team in business-critical settings.
This is a great opportunity to make a real impact in a fast-evolving environment that values ownership, learning, and collaboration.
Interested? Apply now to take the next step in your data engineering journey
Nice-to-have skills
- AWS
- Python
- Github
- Git
- Redshift
- Data Modeling
- Leeds, England
- Data Engineer
- English
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