Data Engineer

Low Carbon Contracts Company

Data Engineer focusing on sourcing and modeling data for report/dashboard building at LCCC. Ensuring reliable data integration and governance across the organization.

Posted 7/22/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £62,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data engineering solutions, including ETL/ELT processes, while ensuring data quality and governance. Proficient in leveraging cloud platforms such as Azure, AWS, or GCP for scalable data architecture and analytics.

Highest-signal resume keywords

Data Engineering ExperiencePython (Preferably PySpark)SQL Query OptimizationAzure Data FactoryETL/ELT Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Structures DevelopmentData Pipeline MaintenanceData ValidationData Quality ChecksData Governance StandardsExtract Load Transformation (ELT)Big Data PlatformsData Dictionary CreationFlow Diagram DevelopmentData Analysis

Soft Skills

Analytical ThinkingCritical ThinkingStakeholder Collaboration

Tools & Technologies

AzureAWSGCPAzure SynapseDatabricksADLS

Industry Keywords

Data WarehouseData GovernanceData ManagementData Infrastructure Technologies

Tech Stack

Tools & technologies

AWSAzureETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Participate in designing, developing and maintaining activities for LCCC DataWarehouse ensuring reliable data across the organisation
Source, model and provide reliable data in a form that is ready for report/dashboard building
Follow the data governance standards
Build and maintain key data governance and management artefacts e.g., Flow Diagram, Data Dictionary.
Identify patterns, anomalies, and structure of data in preparation for Extract Load and Transformation.
Perform data validation, quality checks, and reconciliation across source and target systems.
Define the low-level design of a data warehouse to ensure robustness e.g., restorability, traceability, ease to support, etc.
Help design and maintain the modern DataWarehouse architecture, implementation, administration, and support

Requirements

What you’ll need

Considerable experience in developing data structures using highly scalable database systems
Experience developing, maintaining, and supporting data pipelines and data engineering solutions using Python (preferably PySpark) and SQL.
Experience optimising SQL queries, Python code, and data processing workloads to improve performance, scalability, and reliability.
Experience with Azure and/or AWS and/or GCP
Able to work with large datasets and extrapolate conclusions
Strong analytical and critical thinking abilities
Experience working with stakeholders to gather business requirements and translate them into effective data engineering solutions.
Experience building and maintaining reliable, scalable ETL/ELT solutions on big data platforms and working with a variety of data infrastructure technologies.
Data Engineering experience within the Microsoft technology stack (e.g. Azure Data Factory, Synapse, Databricks, ADLS)

Benefits

Comp & perks

Annual performance based bonus, up to 10%
25 days annual leave, plus eight bank holidays
Up to 8% pension contribution
Financial support and time off for study relevant to your role, plus a professional membership subscription
Employee referral scheme (up to £1500), and colleague recognition scheme
Family friendly policies, including enhanced maternity leave and shared parental leave
Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
Three paid volunteering days a year
Season ticket loan and cycle to work schemes
Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
Employee resource groups