Data Engineer

TyneStack Ltd; Newcastle upon Tyne; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid working after probation

Job summary

TyneStack Ltd in Newcastle upon Tyne is seeking a hands-on Data Engineer to join its growing Data team. You will build, maintain and optimise data pipelines, ingest data from multiple systems and develop reliable datasets for analytics and data science.

The role focuses on strong Python and SQL, working with modern cloud technologies including Microsoft Fabric and Azure. Hybrid working is offered after probation, with three days onsite.

Qualifications

• Strong commercial Python experience in Data Engineering.
• Strong commercial SQL experience with complex queries.
• Experience building and maintaining data pipelines.
• Commercial ETL/ELT development experience.
• Experience ingesting data from multiple source systems.
• Understanding of data warehousing and dimensional modelling.
• Knowledge of data quality, validation, and reliable processing.
• Experience with Python notebooks.
• Understanding OLTP and OLAP architectures.

Responsibilities

• Build, maintain and optimise data pipelines and ingestion processes.
• Use Python to transform, process and manipulate data.
• Write complex SQL queries and procedures.
• Develop solutions using Python notebooks.
• Build ETL and ELT processes across multiple data sources.
• Support data warehouse and dimensional modelling.
• Transform transactional data for analytics and reporting.
• Work with Microsoft Fabric and wider Azure data technologies.
• Monitor pipelines and resolve data quality issues.
• Collaborate with Analytics, Data Science and business teams.

Skills

Python

SQL

Data pipelines

ETL/ELT

Data warehousing

OLTP/OLAP

Data quality

Python notebooks

Tools

Microsoft Fabric

Azure

Python notebooks

Job description

Location: Newcastle upon Tyne | 3 Days onsite

Type: Full-time, Permanent

Overview

A large Newcastle based organisation is looking to appoint a hands-on Data Engineer to join its established and growing Data team.

This role is particularly focused on strong commercial Python and SQL experience. You'll be responsible for building and maintaining data pipelines, ingesting and transforming data from multiple systems and developing reliable datasets that support Analytics, Data Science and wider business teams.

The environment is continuing to evolve towards modern cloud Data Engineering technologies,

including Microsoft Fabric and Python notebooks. You don't need to already be an expert across every part of the Microsoft data stack, but you should have strong Data Engineering fundamentals and be confident using Python and SQL within real commercial environments.

Key Responsibilities

• Build, maintain and optimise data pipelines and ingestion processes
• Use Python to transform, process and manipulate data
• Write complex, efficient SQL queries and procedures
• Develop solutions increasingly using Python notebooks
• Build ETL and ELT processes across multiple data sources
• Support data warehouse and dimensional modelling solutions
• Transform transactional data into structures suitable for analytics and reporting
• Work with Microsoft Fabric and wider Azure data technologies
• Monitor pipelines and resolve data quality, reliability and performance issues
• Collaborate with Analytics, Data Science and business teams to deliver practical engineering solutions

Requirements

• Strong commercial Python experience within Data Engineering
• Strong commercial SQL experience, including complex queries and data transformations
• Experience building and maintaining data pipelines
• Commercial experience with ETL and/or ELT development
• Experience ingesting and transforming data from multiple source systems
• Understanding of data warehousing and dimensional modelling
• Good understanding of data quality, validation and reliable data processing
• Strong problem-solving skills and a genuine Data Engineering mindset
• Experience with Python notebooks
• Understanding of OLTP and OLAP architectures

What’s on Offer

• Hybrid working after probation
• Exposure to Microsoft Fabric and modern Azure data technologies
• Opportunity to develop further with Python notebooks and cloud Data Engineering
• Genuine progression opportunities within an established Data team
• Collaborative environment working alongside Analytics and Data Science professionals

We're particularly interested in people who see themselves as Data Engineers rather than primarily Data Analysts or BI professionals.