Data Engineer

First Central

. Design and build scalable data solutions for projects and long-term products .

Posted 10/8/2026full-timeManchester • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data solutions, including data pipelines, data lakes, and business intelligence solutions. Proficient in SQL Server, Azure, PySpark, and Python, with a strong focus on data quality, testing, and agile methodologies.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ServerAzure Data FactoryPySparkBusiness Intelligence Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Solutions DesignData Pipeline ImplementationDatabase DesignData CleansingETL TechnologiesUnit TestingContinuous IntegrationContinuous DeliveryData Lifecycle ManagementAgile Methodologies

Soft Skills

CollaborationCommunicationMentoringTime ManagementPrioritization

Tools & Technologies

Power BIAzure SynapseData LakeData WarehouseData Marts

Industry Keywords

Event-Based DatasetsData QualityData ObservabilitySolution ArchitectureRelease Management

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

Design and build scalable data solutions for projects and long-term products
Develop and implement secure, governed, high-quality data pipelines from on- and off-premise internal and external sources
Design and maintain databases and physical data models
Cleanse, map, transform, and optimise data for storage and business and technical use cases
Build data observability and data quality into pipelines
Create data lake, data warehouse, business intelligence, and analytics solutions
Carry out unit testing of own code and peer testing of others’ code
Maintain effective documentation for pipelines and code
Follow coding standards, architectural principles, solution designs, and release management processes
Coach and mentor Associate Data Engineers
Create BI solutions including data marts, semantic layers, and reporting and visualisation solutions using tools such as Power BI

Requirements

What you’ll need

2–5 years of experience designing and building end-to-end data solutions
Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and associated ETL technologies
Strong experience with PySpark, Python, and SQL
Experience working with large, event-based datasets in an enterprise environment
Experience with testing techniques and tools
Experience with Continuous Integration / Continuous Delivery (CI/CD)
Experience working in an agile environment and self-managing teams
Good understanding of the full data lifecycle
Ability to follow coding standards, architectural principles, solution design/architecture, and release management processes
Ability to prioritise multiple demands and manage time effectively
Ability to advise and support less experienced engineers
Ability to work collaboratively and communicate effectively
Ability to work in the UK locations specified for the role

Benefits

Comp & perks

Flexible hybrid working
Primarily work from home
In-person collaboration typically once a quarter
Option to work in the office more often
Opportunities to develop new skills and take on fresh challenges
Coaching and mentoring opportunities
Supportive, trusted work environment
Career development opportunities